Wolfgang Viechtbauer

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Curriculum Vitae

Wolfgang Viechtbauer
Associate Professor of Methodology and Statistics
Department of Psychiatry and Neuropsychology
School for Mental Health and Neuroscience
Faculty of Health, Medicine, and Life Sciences
Maastricht University, P.O. Box 616 (VIJV1)
6200 MD Maastricht, The Netherlands

Tel: +31 (43) 388-4170
Email: wvb (at) wvbauer (dot) com
Web: https://www.wvbauer.com

Education

2004 Ph.D. in Psychology (Quantitative Methods) University of Illinois, Urbana-Champaign
Advisors: David Budescu and Lawrence Hubert
2003 M.S. in Statistics University of Illinois, Urbana-Champaign
2002 M.A. in Psychology (Quantitative Methods) University of Illinois, Urbana-Champaign
1998 B.S. in Psychology Illinois State University, Normal, Illinois
Summa Cum Laude, University and Departmental Honors

Employment

2016- Associate Professor Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Maastricht University.
2010-2016 Assistant Professor Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Maastricht University.
2004-2010 Assistant Professor Department of Methodology and Statistics, School for Public Health and Primary Care, Maastricht University.
2003-2004 Research Assistant Department of Psychology, University of Illinois, Urbana-Champaign.
1998-2003 Teaching Assistant Department of Psychology, University of Illinois, Urbana-Champaign.

Publications

Journal Articles

  1. Borchardt, B., Kastaun, S., Pashutina, Y., Viechtbauer, W., & Kotz, D. (in press). Motivation to stop smoking in the German population between 2016-2021 and associated factors: Results from a repeated cross-sectional representative population survey (German Study on Tobacco Use, DEBRA study). BMJ Open.
  2. Kraiss, J., Viechtbauer, W., Black, N., Johnston, M., Hartmann-Boyce, J., Eisma, M., Javornik, N., Bricca, A., Michie, S., West, R., & de Bruin, M. (in press). Estimating the true effectiveness of smoking cessation interventions under variable comparator conditions: A systematic review and meta-regression. Addiction.
  3. Kastaun, S., Brose, L. S., Scholz, E. F., Viechtbauer, W., & Kotz, D. (in press). Mental health symptoms and its associations with tobacco smoking, dependence, motivation and attempts to quit: Findings from a population survey in Germany (DEBRA study). European Addiction Research.
  4. Germeys, I., van Aubel, E., Vaessen, R., Steinhart, H., Klippel, A., Lafit, G., Viechtbauer, W., Batink, T., van Winkel, R., van der Gaag, M., van Amelsvoort, T., Marcelis, M., Schirmbeck, F. N., de Haan, L., & Reininghaus, U. (in press). Efficacy of Acceptance and Commitment Therapy in Daily Life (ACT-DL) in early psychosis: Results from the multi-center INTERACT randomized controlled trial. Psychotherapy and Psychosomatics.
  5. Vaessen, T., Rintala, R., Otsabryk, N., Viechtbauer, W., Wampers, W., Claes, S., & Myin-Germeys, I. (in press). The association between self-reported stress and cardiovascular measures in daily life: A systematic review. PLOS ONE.
  6. Rintala, A., Wampers, M., Lafit, G., Myin-Germeys, I., & Viechtbauer, W. (in press). Perceived disturbance and predictors thereof in studies using the experience sampling method. Current Psychology.
  7. Smith, R., Pishva, E., Shireby, G., Smith, A., Roubroeks, J., Hannon, E., Wheildon, G., Mastroeni, D., Gasparoni, G., Riemenschneider, M., Giese, A., Sharp, A., Schalkwyk, L., Haroutunian, V., Viechtbauer, W., van den Hove, D., Weedon, M., Brokaw, D., Francis, P., Thomas, A., Love, S., Morgan, K., Walter, J., Coleman, P., Bennett, D., De Jager, P., Mill, J., & Lunnon, K. (in press). A meta-analysis of epigenome-wide association studies in Alzheimer's disease highlights novel differentially methylated loci across cortex. Nature Communications.
  8. Kastaun, S., Leve, V., Hildebrandt, J., Funke, C., Klosterhalfen, S., Lubisch, D., Reddemann, O., McRobbie, H., Raupach, T., West, R., Wilm, S., Viechtbauer, W., & Kotz, D. (in press). Training general practitioners in the ABC vs. 5As method of delivering stop-smoking advice: A pragmatic, two-arm cluster randomised controlled trial. ERJ Open Research.
  9. Eisele, G., Vachon, H., Lafit, G., Kuppens, P., Houben, M., Myin-Germeys, I., & Viechtbauer, W. (in press). The effects of sampling frequency and questionnaire length on perceived burden, compliance, and careless responding in experience sampling data in a student population. Assessment.
  10. Weijers, J., ten Kate, C., Viechtbauer, W., Rampaart, L. J. A., Eurelings, E. H. M., & Selten, J. P. (in press). Mentalization-based treatment for psychotic disorder: A rater-blinded, multi-center, randomized, controlled 'proof-of-concept' trial. Psychological Medicine.
  11. Pishva, E., Creese, B., Smith, A. R., Viechtbauer, W., Proitsi, P., van den Hove, D. L. A., Ballard, C., Mill, J., & Lunnon, K. (in press). Psychosis-associated DNA methylomic variation in Alzheimer’s disease cortex. Neurobiology of Aging.
  12. Karabulut, M., Laer, L. V., Hallemans, A., Vereeck, L., Rompaey, V. V., Viechtbauer, W., Melliti, A., van Stiphout, L., Mohamad, A., Fornos, A. P., Guinand, N., & van de Berg, R. (2023). Chronic symptoms in patients with unilateral vestibular hypofunction: Systematic review and meta-analysis. Frontiers in Neurology, 14, 1177314. https://doi.org/10.3389/fneur.2023.1177314
  13. Voulgaropoulou, S. D., Viechtbauer, W., Sobczak, S., van Amelsvoort, T., & Hernaus, D. (2023). Worries about the COVID-19 pandemic and the dynamic regulation of emotions in the general population: A network analysis study. Journal of Affective Disorders Reports, 14, 100618. https://doi.org/10.1016/j.jadr.2023.100618
  14. Nakagawa, S., Noble, D. W. A., Lagisz, M., Spake, R., Viechtbauer, W., & Senior, A. M. (2023). A robust and readily implementable method for the meta-analysis of response ratios with and without missing standard deviations. Ecology Letters, 26(2), 232–244. https://doi.org/10.1111/ele.14144
  15. Eisele, G., Vachon, H., Lafit, G., Tuyaerts, D., Houben, M., Kuppens, P., Myin-Germeys, I., & Viechtbauer, W. (2023). A mixed-method investigation into measurement reactivity to the experience sampling method: The role of sampling protocol and individual characteristics. Psychological Assessment, 35(1), 68–81. https://doi.org/10.1037/pas0001177
  16. De Calheiros Velozo, J., Lafit, G., Viechtbauer, W., van Amelsvoort, T., Schruers, K., Marcelis, M., Goossens, L., Simons, C. J. P., Delespaul, P., Claes, S., Myin-Germeys, I. & Vaessen, T. (2023). Delayed affective recovery to daily-life stressors signals a risk for depression. Journal of Affective Disorders, 320, 499–506. https://doi.org/10.1016/j.jad.2022.09.136
  17. Welz, T., Viechtbauer, W., & Pauly, M. (2023). Cluster-robust estimators for multivariate mixed-effects meta-regression. Computational Statistics and Data Analysis, 179, 107631. https://doi.org/10.1016/j.csda.2022.107631
  18. Viechtbauer, W., & López-López, J. A. (2022). Location-scale models for meta-analysis. Research Synthesis Methods, 13(6), 697–715. https://doi.org/10.1002/jrsm.1562
  19. Cinar, O. & Viechtbauer, W. (2022). A comparison of methods for gene-based testing that account for linkage disequilibrium. Frontiers in Genetics, 13. https://doi.org/10.3389/fgene.2022.867724
  20. Bartels, S. L., van Knippenberg, R. J. M., Viechtbauer, W., Simons, C. J. P., Ponds, R. W., Myin-Germeys, I., Verhey, F. R. J. & de Vugt, M. E. (2022). Intervention mechanisms of an experience sampling intervention for spousal carers of people with dementia: A secondary analysis using momentary data. Aging & Mental Health, 26(2), 294–304. https://doi.org/10.1080/13607863.2020.1857692
  21. Cinar, O., Nakagawa, S., & Viechtbauer, W. (2022). Phylogenetic multilevel meta-analysis: A simulation study on the importance of modeling the phylogeny. Methods in Ecology and Evolution, 13, 383–395. https://doi.org/10.1111/2041-210X.13760
  22. Cinar, O. & Viechtbauer, W. (2022). The poolr package for combining independent and dependent p-values. Journal of Statistical Software, 101(1), 1–42. https://doi.org/10.18637/jss.v101.i01
  23. Eisele, G., Lafit, G., Vachon, H., Kuppens, P., Houben, M., Myin-Germeys, I., & Viechtbauer, W. (2021). Affective structure, measurement invariance, and reliability across different experience sampling protocols. Journal of Research in Personality, 92, 104094. https://doi.org/10.1016/j.jrp.2021.104094
  24. Lafit, G., Adolf, J. K., Dejonckheere, E., Myin-Germeys, I., Viechtbauer, W., & Ceulemans, E. (2021). Selection of the number of participants in intensive longitudinal studies: A user-friendly Shiny app and tutorial for performing power analysis in multilevel regression models that account for temporal dependencies. Advances in Methods and Practices in Psychological Science, 4(1), 2515245920978738. https://doi.org/10.1177/2515245920978738
  25. Kotz, D., van Rossem, C., Viechtbauer, W., Spigt, M., & van Schayck, O. (2021). Validity of urges to smoke measures in predicting smoking relapse during treatment in primary care. npj Primary Care Respiratory Medicine, 31, 48. https://doi.org/10.1038/s41533-021-00259-3
  26. Daemen, M., Postma, M. R., Lindauer, R., Hoes-van der Meulen, I., Nieman, D., Delespaul, P., Breedvelt, J. J. F., van der Gaag, M., Viechtbauer, W., Schruers, K., van den Berg, D., Bockting, C., van Amelsvoort, T., & Reininghaus, U. (2021). Efficacy of a transdiagnostic ecological momentary intervention for improving self-esteem (SELFIE) in youth exposed to childhood adversity: Study protocol for a multi-center randomized controlled trial. Trials, 22(1), 641. https://doi.org/10.1186/s13063-021-05585-y
  27. van der Linden, K., Simons, C., Viechtbauer, W., Ottenheijm, E., van Amelsvoort, T., & Marcelis, M. (2021). A momentary assessment study on emotional and biological stress in adult males and females with autism spectrum disorder. Scientific Reports, 11(1), 14160. https://doi.org/10.1038/s41598-021-93159-y
  28. Kastaun, S., Viechtbauer, W., Leve, V., Hildebrandt, J., Funke, C., Klosterhalfen, S., Lubisch, D., Reddemann, O., Raupach, T., Wilm, S., & Kotz, D. (2021). Quit attempts and tobacco abstinence in primary care patients: Follow-up of a pragmatic, two-arm cluster randomised controlled trial on brief stop-smoking advice – ABC versus 5As. ERJ Open Research, 7(3), 00224-02021. https://doi.org/10.1183/23120541.00224-2021
  29. Cinar, O., Umbanhowar, J., Hoeksema, J. D., & Viechtbauer, W. (2021). Using information-theoretic approaches for model selection in meta-analysis. Research Synthesis Methods, 12(4), 537–556. https://doi.org/10.1002/jrsm.1489
  30. de Bruin, M., Black, N., Javornik, N., Viechtbauer, W., Eisma, M., Hartmann-Boyce, J., Williams, A. J., West, R., Michie, S., & Johnston, M. (2021). Underreporting of the active content of behavioural interventions: A systematic review and meta-analysis of randomized trials of smoking cessation interventions. Health Psychology Review, 15(2), 195–213. https://doi.org/10.1080/17437199.2019.1709098
  31. Eisele, E., Vachon, V., Myin-Germeys, I., & Viechtbauer, W. (2021). Reported affect changes as a function of response delay: Findings from a pooled dataset of nine experience sampling studies. Frontiers in Psychology, 12, 292. https://doi.org/10.3389/fpsyg.2021.580684
  32. Black, N., Johnston, M., Michie, S., Hartmann-Boyce, J., West, R., Viechtbauer, W., Eisma, M. C., Scott, C., & de Bruin, M. (2020). Behaviour change techniques associated with smoking cessation in intervention and comparator groups of randomised controlled trials: A systematic review and meta-regression. Addiction, 115(11), 2008–2020. https://doi.org/10.1111/add.15056
  33. Black, N., Eisma, M. C., Viechtbauer, W., Johnston, M., West, R., Hartmann-Boyce, J., Michie, S., & de Bruin, M. (2020). Variability and effectiveness of comparator group interventions in smoking cessation trials: A systematic review and meta-analysis. Addiction, 115(9), 1607–1617. https://doi.org/10.1111/add.14969
  34. McCurdy, M. P., Viechtbauer, W., Frankenstein, A. N., Sklenar, A. M., & Leshikar, E. D. (2020). Theories of the generation effect and the impact of generation constraint: A meta-analytic review. Psychonomic Bulletin & Review, 27(6), 1139–1165. https://doi.org/10.3758/s13423-020-01762-3
  35. Senior, A., Viechtbauer, W., & Nakagawa, S. (2020). Revisiting and expanding the meta-analysis of variation: The log coefficient of variation ratio. Research Synthesis Methods, 11(4), 553–567. https://doi.org/10.1002/jrsm.1423
  36. Schneider, M., Vaessen, T., van Duin, E. D. A., Kasanova, Z., Viechtbauer, W., Reininghaus, U., Vingerhoets, C., Booij, J., Swillen, A., Vorstman, J. A. S., van Amelsvoort, T., & Myin-Germeys, I. (2020). Affective and psychotic reactivity to daily-life stress in adults with 22q11DS: A study using the experience sampling method. Journal of Neurodevelopmental Disorders, 12(1), 30. https://doi.org/10.1186/s11689-020-09333-2
  37. Haslam, N., McGrath, M. J., Viechtbauer, W., & Kuppens, P. (2020). Dimensions over categories: A comprehensive meta-analysis of taxometric research. Psychological Medicine, 50(9), 1418–1432. https://doi.org/10.1017/S003329172000183X
  38. Rintala, A., Wampers, M., Myin-Germeys, I., & Viechtbauer, W. (2020). Momentary predictors of compliance in studies using the experience sampling method. Psychiatry Research, 296, 112896. https://doi.org/10.1016/j.psychres.2020.112896
  39. Rubio-Aparicio, M., López-López, J. A., Viechtbauer, W., Marín-Martínez, F., Botella, J., & Sánchez-Meca, J. (2020). Testing categorical moderators in mixed-effects meta-analysis in the presence of heteroscedasticity. Journal of Experimental Education, 88(2), 288–310. https://doi.org/10.1080/00220973.2018.1561404
  40. Reininghaus, U., Klippel, A., Steinhart, H., Vaessen, T., van Nierop, M., Viechtbauer, W., Batink, T., Kasanova, Z., van Aubel, E., van Winkel, R., Marcelis, M., van Amelsvoort, T., van der Gaag, M., de Haan, L., & Myin-Germeys, I. (2019). Efficacy of Acceptance and Commitment Therapy in Daily Life (ACT-DL) in early psychosis: Study protocol for a multi-centre randomized controlled trial. Trials, 20(1), 769. https://doi.org/10.1186/s13063-019-3912-4
  41. Terrer, C., Jackson, R. B., Prentice, I. C., Keenan, T. F., Kaiser, C., Vicca, S., Fisher, J. B., Reich, P. B., Stocker, B. D., Hungate, B. A., Peñuelas, J., McCallum, I., Soudzilovskaia, N. A., Cernusak, L. A., Talhelm, A. F., Van Sundert, K., Piao, S., Newton, P. C. D., Hovenden, M. J., Blumenthal, D. M., Liu, Y. Y., Müller, C., Winter, K., Field, C. B., Viechtbauer, W., Van Lissa, C. J., Hoosbeek, M. R., Watanabe, M., Koike, T., Leshyk, V. O., Polley, H. W., & Franklin, O. (2019). Nitrogen and phosphorus constrain the CO2 fertilization of global plant biomass. Nature Climate Change, 9(9), 684–689. https://doi.org/10.1038/s41558-019-0545-2
  42. Heins, M., Achterhof, R., Collip, D., Viechtbauer, W., Kirtley, O. J., Gunther, N., van Os, J., Feron, F., & Myin-Germeys, I. (2019). Social functioning and subclinical psychosis in adolescence: A longitudinal general adolescent population study. Acta Psychiatrica Scandinavica, 140(3), 275–282. https://doi.org/10.1111/acps.13069
  43. Schruers, K., Baldi, S., van den Heuvel, T., Goossens, L., Luyten, L., Leentjens, A. F. G., Ackermans, L., Temel, Y., & Viechtbauer, W. (2019). The effects of deep-brain non-stimulation in severe obsessive-compulsive disorder: An individual patient data meta-analysis. Translational Psychiatry, 9(1), 183. https://doi.org/10.1038/s41398-019-0522-6
  44. Nouwen, A., Adriaanse, M. C., van Dam, K., Iversen, M. M., Viechtbauer, W., Peyrot, M., Caramlau, I., Kokoszka, A., Kanc, K., de Groot, M., Nefs, G., Pouwer, F., & The European Depression in Diabetes Research Consortium. (2019). Longitudinal associations between depression and diabetes complications: A systematic review and meta-analysis. Diabetic Medicine, 36(12), 1562–1572. https://doi.org/10.1111/dme.14054
  45. van Duin, E. D. A., Vaessen, T., Kasanova, Z., Viechtbauer, W., Reininghaus, U., Saalbrink, P., Vingerhoets, C., Hernaus, D., Booij, J., Swillen, A., Vorstman, J., van Amelsvoort, T., & Myin-Germeys, I. (2019). Lower cortisol levels and attenuated cortisol reactivity to daily-life stressors in adults with 22q11.2 deletion syndrome. Psychoneuroendocrinology, 106, 85–94. https://doi.org/10.1016/j.psyneuen.2019.03.023
  46. Vaessen, T., Viechtbauer, W., van der Steen, Y., Gayer-Anderson, C., Kempton, M. J., Valmaggia, L., McGuire, P., Murray, R., Garety, P., Wykes, T., Morgan, C., Lataster, T., Lataster, J., Collip, D., Hernaus, D., Kasanova, Z., Delespaul, P., Oorschot, M., Claes, S., Reininghaus, U., & Myin-Germeys, I. (2019). Recovery from daily-life stressors in early and chronic psychosis. Schizophrenia Research, 213, 32–39. https://doi.org/10.1016/j.schres.2019.03.011
  47. van Aert, R. C. M., van Assen, M. A. L. M., & Viechtbauer, W. (2019). Statistical properties of methods based on the Q-statistic for constructing a confidence interval for the between-study variance in meta-analysis. Research Synthesis Methods, 10(2), 225–239. https://doi.org/10.1002/jrsm.1336
  48. Black, N., Williams, A. J., Javornik, N., Scott, C., Johnston, M., Eisma, M. C., Michie, S., Hartmann-Boyce, J., West, R., Viechtbauer, W., & de Bruin, M. (2018). Enhancing behavior change technique coding methods: Identifying behavioral targets and delivery styles in smoking cessation trials. Annals of Behavioral Medicine, 53(6), 583–591. https://doi.org/10.1093/abm/kay068
  49. Langan, D., Higgins, J. P. T., Jackson, D., Bowden, J., Veroniki, A. A., Kontopantelis, E., Viechtbauer, W., & Simmonds, M. (2019). A comparison of heterogeneity variance estimators in simulated random-effects meta-analyses. Research Synthesis Methods, 10(1), 83–98. https://doi.org/10.1002/jrsm.1316
  50. Vachon, H., Viechtbauer, W., Rintala, A., & Myin-Germeys, I. (2019). Compliance and retention with the Experience Sampling Method over the continuum of severe mental disorders: Meta-analysis and recommendations. Journal of Medical Internet Research, 21(12), e14475. https://doi.org/10.2196/14475
  51. Michielse, S., Rakijo, K., Peeters, S., Viechtbauer, W., van Os, J., & Marcelis, M. (2019). Microstructural white matter network-connectivity in individuals with psychotic disorder, unaffected siblings and controls. NeuroImage: Clinical, 23, 101931. https://doi.org/10.1016/j.nicl.2019.101931
  52. Domen, P., Michielse, S., Peeters, S., Viechtbauer, W., van Os, J., Marcelis, M., & Genetic Risk and Outcome of Psychosis (2019). Childhood trauma- and cannabis-associated microstructural white matter changes in patients with psychotic disorder: A longitudinal family-based diffusion imaging study. Psychological Medicine, 49(4), 628–638. https://doi.org/10.1017/S0033291718001320
  53. Kastaun, S., Leve, V., Hildebrandt, J., Funke, C., Becker, S., Lubisch, D., Viechtbauer, W., Reddemann, O., Hempel, L., McRobbie, H., Raupach, T., West, R., & Kotz, D. (2019). Effectiveness of training general practitioners to improve the implementation of brief stop-smoking advice in German primary care: Study protocol of a pragmatic, 2-arm cluster randomised controlled trial (the ABCII trial). BMC Family Practice, 20(107). https://doi.org/10.1186/s12875-019-0986-8
  54. Rintala, A., Wampers, M., Myin-Germeys, I., & Viechtbauer, W. (2019). Response compliance and predictors thereof in studies using the experience sampling method. Psychological Assessment, 31(2), 226–235. https://doi.org/10.1037/pas0000662
  55. Maire, A., Thierry, E., Viechtbauer, W., & Daufresne, M. (2019). Poleward shift in large-river fish communities detected with a novel meta-analysis framework. Freshwater Biology, 64(6), 1143–1156. https://doi.org/10.1111/fwb.13291
  56. Weijers, J., Viechtbauer, W., Eurelings-Bontekoe, E., & Selten, J.-P. (2018). Reported childhood abuse and stress reactivity in psychosis: A conceptual replication and exploration of statistical approaches. Frontiers in Psychiatry, 9, 639. https://doi.org/10.3389/fpsyt.2018.00639
  57. Klippel, A., Reininghaus, U., Viechtbauer, W., Decoster, J., Delespaul, P., Derom, C., de Hert, M., Jacobs, N., Menne-Lothmann, C., Rutten, B., Thiery, E., van Os, J., van Winkel, R., Myin-Germeys, I., & Wichers, M. (2018). Sensitivity to peer evaluation and its genetic and environmental determinants: Findings from a population-based twin study. Child Psychiatry & Human Development, 49(5), 766–778. https://doi.org/10.1007/s10578-018-0792-x
  58. Weijers, J., Fonagy, P., Eurelings-Bontekoe, E., Termorshuizen, F., Viechtbauer, W., & Selten, J. P. (2018). Mentalizing impairment as a mediator between reported childhood abuse and outcome in nonaffective psychotic disorder. Psychiatry Research, 259, 463–469. https://doi.org/10.1016/j.psychres.2017.11.010
  59. van Bronswijk, S. C., Lemmens, L. H. J. M., Viechtbauer, W., Huibers, M. J. H., Arntz, A., & Peeters, F. P. M. L. (2018). The impact of personality disorder pathology on the effectiveness of cognitive therapy and interpersonal psychotherapy for major depressive disorder. Journal of Affective Disorders, 225, 530–538. https://doi.org/10.1016/j.jad.2017.08.043
  60. Rutten, B. P. F., Vermetten, E., Vinkers, C. H., Ursini, G., Daskalakis, N. P., Pishva, E., de Nijs, L., Houtepen, L. C., Eijssen, L., Jaffe, A. E., Kenis, G., Viechtbauer, W., van den Hove, D., Schraut, K. G., Lesch, K. P., Kleinman, J. E., Hyde, T. M., Weinberger, D. R., Schalkwyk, L., Lunnon, K., Mill, J., Cohen, H., Yehuda, R., Baker, D. G., Maihofer, A. X., Nievergelt, C. M., Geuze, E., & Boks, M. P. M. (2018). Longitudinal analyses of the DNA methylome in deployed military servicemen identify susceptibility loci for post-traumatic stress disorder. Molecular Psychiatry, 23(5), 1145–1156. https://doi.org/10.1038/mp.2017.120
  61. Rubio-Aparicio, M., López-López, J. A., Sánchez-Meca, J., Marín-Martínez, F., Viechtbauer, W., & Van den Noortgate, W. (2018). Estimation of an overall standardized mean difference in random-effects meta-analysis if the distribution of random effects departs from normal. Research Synthesis Methods, 9(3), 489–503. https://doi.org/10.1002/jrsm.1312
  62. Hasmi, L., Drukker, M., Guloksuz, S., Viechtbauer, W., Thiery, E., Derom, C., & van Os, J. (2018). Genetic and environmental influences on the affective regulation network: A prospective experience sampling analysis. Frontiers in Psychiatry, 9(602). https://doi.org/10.3389/fpsyt.2018.00602
  63. Mentzel, T. Q., van der Snoek, R., Lieverse, R., Oorschot, M., Viechtbauer, W., Bloemen, O., & van Harten, P. N. (2018). Clozapine monotherapy as a treatment for antipsychotic-induced tardive dyskinesia: A meta-analysis. Journal of Clinical Psychiatry, 79(6), 17r11852. https://doi.org/10.4088/JCP.17r11852
  64. Hoeksema, J. D., Bever, J. D., Chakraborty, S., Chaudhary, V. B., Gardes, M., Gehring, C. A., Hart, M. M., Housworth, E. A., Kaonongbua, W., Klironomos, J. N., Lajeunesse, M. J., Meadow, J., Milligan, B. G., Piculell, B. J., Pringle, A., Rúa, M. A., Umbanhowar, J., Viechtbauer, W., Wang, Y.-W., Wilson, G. W. T., & Zee, P. C. (2018). Evolutionary history of plant hosts and fungal symbionts predicts the strength of mycorrhizal mutualism. Communications Biology, 1(116). https://doi.org/10.1038/s42003-018-0120-9
  65. Myin-Germeys, I., Kasanova, Z., Vaessen, T., Vachon, H., Kirtley, O., Viechtbauer, W., & Reininghaus, U. (2018). Experience sampling methodology in mental health research: New insights and technical developments. World Psychiatry, 17(2), 123–132. https://doi.org/10.1002/wps.20513
  66. Vachon, H., Rintala, A., Viechtbauer, W., & Myin-Germeys, I. (2018). Data quality and feasibility of the Experience Sampling Method across the spectrum of severe psychiatric disorders: A protocol for a systematic review and meta-analysis. Systematic Reviews, 7(7). https://doi.org/10.1186/s13643-018-0673-1
  67. Klippel, A., Viechtbauer, W., Reininghaus, U., Wigman, J., van Borkulo, C., MERGE, Myin-Germeys, I., & Wichers, M. (2018). The cascade of stress: A network approach to explore differential dynamics in populations varying in familial risk for psychosis. Schizophrenia Bulletin, 44(2), 328–337. https://doi.org/10.1093/schbul/sbx037
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  132. Linmans, J. J., Viechtbauer, W., Koppenaal, T., Spigt, M. G., & Knottnerus, J. A. (2012). Using electronic medical records analysis to investigate the effectiveness of lifestyle programs in real-world primary care is challenging: A case study in diabetes mellitus. Journal of Clinical Epidemiology, 65(7), 785–792. https://doi.org/10.1016/j.jclinepi.2012.01.010
  133. Schutters, S., Viechtbauer, W., Knuts, I. J., Griez, E. J. L., & Schruers, K. R. J. (2012). 35% CO2 sensitivity in social anxiety disorder. Journal of Psychopharmacology, 26(4), 479–486. https://doi.org/10.1177/0269881111430750
  134. Szerencsi, K., van Amelsvoort, L., Viechtbauer, W., Mohren, D., Prins, M., & Kant, IJ. (2012). The association between study characteristics and outcome in the relation between job stress and cardiovascular disease: A multilevel meta-regression analysis. Scandinavian Journal of Work, Environment & Health, 38(6), 489–502. https://doi.org/10.5271/sjweh.3283
  135. Varese, F., Smeets, F., Drukker, M., Lieverse, R., Lataster, T., Viechtbauer, W., Read, J., van Os, J., & Bentall, R. P. (2012). Childhood adversities increase the risk of psychosis: A meta-analysis of patient-control, prospective- and cross-sectional cohort studies. Schizophrenia Bulletin, 38(4), 661–671. https://doi.org/10.1093/schbul/sbs050
  136. Elias-Sonnenschein, L. S., Viechtbauer, W., Ramakers, I. H. G. B., Verhey, F. R. J., & Visser, P. J. (2011). Predictive value of APOE-e4 allele for progression from MCI to AD-type dementia: A meta-analysis. Journal of Neurology, Neurosurgery, & Psychiatry, 82(10), 1149–1156. https://doi.org/10.1136/jnnp.2010.231555
  137. Fett, A.-K. J., Viechtbauer, W., Domínguez, M. G., Penn, D. L., van Os, J., & Krabbendam, L. (2011). The relationship between neurocognition and social cognition with functional outcomes in schizophrenia: A meta-analysis. Neuroscience and Biobehavioral Reviews, 35(3), 573–588. https://doi.org/10.1016/j.neubiorev.2010.07.001
  138. Hursel, R., Viechtbauer, W., Dullo, A. G., Tremblay, A., Tappy, L., Rumpler, W., & Westerterp-Plantenga, M. S. (2011). The effects of catechin rich teas and caffeine on energy expenditure and fat oxidation: A meta-analysis. Obesity Reviews, 12(7), 573–581. https://doi.org/10.1111/j.1467-789X.2011.00862.x
  139. Jansen, M. J., Viechtbauer, W., Lenssen, A. F., Hendriks, E. J. M., & de Bie, R. A. (2011). Strength training alone, exercise therapy alone, and exercise therapy with passive manual mobilisation each reduce pain and disability in people with knee osteoarthritis: A systematic review. Journal of Physiotherapy, 57(1), 11–20. https://doi.org/10.1016/S1836-9553(11)70002-9
  140. de Bruin, M., Viechtbauer, W., Schaalma, H. P., Kok, G., Abraham, C., & Hospers, H. J. (2010). Standard care impact on effects of highly active antiretroviral therapy adherence intervention: A meta-analysis of randomized controlled trials. Archives of Internal Medicine, 170(3), 240–250. https://doi.org/10.1001/archinternmed.2009.536
  141. Viechtbauer, W., & Cheung, M. W.-L. (2010). Outlier and influence diagnostics for meta-analysis. Research Synthesis Methods, 1(2), 112–125. https://doi.org/10.1002/jrsm.11
  142. Viechtbauer, W. (2010). Conducting meta-analyses in R with the metafor package. Journal of Statistical Software, 36(3), 1–48. https://doi.org/10.18637/jss.v036.i03
  143. Bosnjak, M., & Viechtbauer, W. (2009). Die Methode der Meta-Analyse zur Evidenz-basierung von Gesundheitsrisiken: Beiträge der Sozial-, Verhaltens- und Wirtschaftswissenschaften [The meta-analytic method for establishing the evidence base of health risks: Contributions from the social, behavioral, and economic sciences]. Zentralblatt für Arbeitsmedizin, Arbeitsschutz und Ergonomie, 59(11), 322–333. https://doi.org/10.1007/BF03344247
  144. de Bruin, M., Viechtbauer, W., Hospers, H. J., Schaalma, H. P., & Kok, G. (2009). Standard care quality determines treatment outcomes in control groups of HAART-adherence intervention studies: Implications for the interpretation and comparison of intervention effects. Health Psychology, 28(6), 668–674. https://doi.org/10.1037/a0015989
  145. Dominguez, M., Viechtbauer, W., Simons, C. J. P., van Os, J., & Krabbendam, L. (2009). Are psychotic psychopathology and neurocognition orthogonal? A systematic review of their associations. Psychological Bulletin, 135(1), 157–171. https://doi.org/10.1037/a0014415
  146. Hursel, R., Viechtbauer, W., & Westerterp-Plantenga, M. S. (2009). The effects of green tea on weight loss and weight maintenance: A meta-analysis. International Journal of Obesity, 33(9), 956–961. https://doi.org/10.1038/ijo.2009.135
  147. Nicolaï, S. P. A., Viechtbauer, W., Kruidenier, L. M., Candel, M. J. J. M., Prins, M. H., & Teijink, J. A. W. (2009). Reliability of treadmill testing in peripheral arterial disease: A meta-regression analysis. Journal of Vascular Surgery, 50(2), 322–329. https://doi.org/10.1016/j.jvs.2009.01.042
  148. Helmhout, P. H., Harts, C. C., Viechtbauer, W., Staal, J. B., & de Bie, R. A. (2008). Isolated lumbar extensor strengthening versus regular physical therapy in an army working population with nonacute low back pain: A randomized controlled trial. Archives of Physical Medicine and Rehabilitation, 89(9), 1675–1685. https://doi.org/10.1016/j.apmr.2007.12.050
  149. Viechtbauer, W. (2007). Approximate confidence intervals for standardized effect sizes in the two-independent and two-dependent samples design. Journal of Educational and Behavioral Statistics, 32(1), 39–60. https://doi.org/10.3102/1076998606298034
  150. Viechtbauer, W. (2007). Accounting for heterogeneity via random-effects models and moderator analyses in meta-analysis. Zeitschrift für Psychologie (Journal of Psychology), 215(2), 104–121. https://doi.org/10.1027/0044-3409.215.2.104
  151. Viechtbauer, W. (2007). Confidence intervals for the amount of heterogeneity in meta-analysis. Statistics in Medicine, 26(1), 37–52. https://doi.org/10.1002/sim.2514
  152. Viechtbauer, W. (2007). Hypothesis tests for population heterogeneity in meta-analysis. British Journal of Mathematical and Statistical Psychology, 60(1), 29–60. https://doi.org/10.1348/000711005X64042
  153. Roberts, B. W., Walton, K., & Viechtbauer, W. (2006). Patterns of mean-level change in personality traits across the life course: A meta-analysis of longitudinal studies. Psychological Bulletin, 132(1), 1–25. https://doi.org/10.1037/0033-2909.132.1.1
  154. Viechtbauer, W. (2005). Bias and efficiency of meta-analytic variance estimators in the random-effects model. Journal of Educational and Behavioral Statistics, 30(3), 261–293. https://doi.org/10.3102/10769986030003261
  155. Farmer-Dougan, V., Viechtbauer, W., & French, T. (1999). Peer-prompted social skills: The role of teacher consultation in student success. Educational Psychology, 19(2), 207–219. https://doi.org/10.1080/0144341990190207

Letters / Editorials / Commentaries

  1. Nakagawa, S., Senior, A. M., Viechtbauer, W., & Noble, D. W. A. (2022). An assessment of statistical methods for non-independent data in ecological meta-analyses: Comment. Ecology, 103(1), e03490 https://doi.org/10.1002/ecy.3490
  2. Berrang-Ford, L., Döbbe, F., Garside, R., Haddaway, N., Lamb, W. F., Minx, J. C., Viechtbauer, W., Welch, V., & White, H. (2020). Editorial: Evidence synthesis for accelerated learning on climate solutions. Campbell Systematic Reviews, 16(4), e1128. https://doi.org/10.1002/cl2.1128
  3. Nakagawa, S., Dunn, A. G., Lagisz, M., Bannach-Brown, A., Grames, E. M., Sánchez-Tójar, A., O’Dea, R., Noble, D. W. A., Westgate, M. J., Arnold, P. A., Barrow, S., Bethel, A., Cooper, E., Foo, Y. Z., Geange, S., Hennessy, E., Mapanga, W., Mengersen, K., Munera, C., Page, M., J., Welch, V., Evidence Synthesis Hackathon 2019 Participants, & Haddaway, N. R. (2020). A new ecosystem for evidence synthesis. Nature Ecology & Evolution, 4, 498–501. https://doi.org/10.1038/s41559-020-1153-2
  4. Nakagawa, S., Koricheva, J., Macleod, M., & Viechtbauer, W. (2020). Introducing our series: Research synthesis and meta-research in biology. BMC Biology, 18(1). https://doi.org/10.1186/s12915-020-0755-0
  5. Kotz, D., Viechtbauer, W., Spigt, M., & Crutzen, R. (2020). Submitting the original participant information letter as supplementary material of a trial report is useful and can be easily implemented. Journal of Clinical Epidemiology, 117, 151–153. https://doi.org/10.1016/j.jclinepi.2019.09.013
  6. Kotz, D., Viechtbauer, W., Spigt, M., & Crutzen, R. (2019). Details about informed consent procedures of randomized controlled trials should be reported transparently. Journal of Clinical Epidemiology, 109, 133–135. https://doi.org/10.1016/j.jclinepi.2019.01.007
  7. Guloksuz, S., Schmidt-Kastner, R., Richards, A., Drukker, M., Kenis, G., Viechtbauer, W., Pishva, E., Wichers, M., Jacobs, N., Thiery, E., Derom, C., van Winkel, R., Holmans, P., O’Donovan, M., van Os, J. & Rutten, B. (2018). Gene- and pathway-based analysis of the ischemia-hypoxia response to developmental adversities: Testing the developmental origins of health and disease (dohad) model in mental health. Biological Psychiatry, 83(9), S322-S323. https://doi.org/10.1016/j.biopsych.2018.02.829
  8. Wichers, M., Borsboom, D., Tuerlinckx, F., Kuppens, P., Viechtbauer, W., van de Leemput, I. A., Kendler, K. S., & Scheffer, M. (2014). Reply to Bos and De Jonge: Between-subject data do provide first empirical support for critical slowing down in depression. PNAS, 111(10), E879. https://doi.org/10.1073/pnas.1323835111
  9. Viechtbauer, W. (2015). Commentary on IntHout et al. (2014): The Hartung-Knapp-Sidik-Jonkman method for random-effects meta-analysis is straightforward and considerably outperforms the standard DerSimonian-Laird method. Cochrane Database of Systematic Reviews, 10(Suppl 1), 14–15. https://doi.org/10.1002/14651858.CD201501
  10. Viechtbauer, W., Kotz, D., Spigt, M., Arts, I. C., & Crutzen, R. (2014). Response to Keriel-Gascou et al.: Higher efficiency and other alleged advantages are not inherent to the stepped wedge design. Journal of Clinical Epidemiology, 67(7), 834–836. https://doi.org/10.1016/j.jclinepi.2014.02.015
  11. Kotz, D., Spigt, M., Arts, I. C., Crutzen, R., & Viechtbauer, W. (2013). The stepped wedge design does not inherently have more power than a cluster randomized controlled trial. Journal of Clinical Epidemiology, 66(9), 1059–1060. https://doi.org/10.1016/j.jclinepi.2013.05.004
  12. Kotz, D., Spigt, M., Arts, I. C., Crutzen, R., & Viechtbauer, W. (2012). Use of the stepped wedge design cannot be recommended: A critical appraisal and comparison with the classic cluster randomized controlled trial design. Journal of Clinical Epidemiology, 65(12), 1249–1252. https://doi.org/10.1016/j.jclinepi.2012.06.004
  13. Kotz, D., Spigt, M., Arts, I. C., Crutzen, R., & Viechtbauer, W. (2012). Researchers should convince policy makers to perform a classic cluster randomized controlled trial instead of a stepped wedge design when an intervention is rolled out. Journal of Clinical Epidemiology, 65(12), 1255–1256. https://doi.org/10.1016/j.jclinepi.2012.06.016
  14. Viechtbauer, W. (2010). Learning from the past: Refining the way we study treatments. Journal of Clinical Epidemiology, 63(9), 980–982. https://doi.org/10.1016/j.jclinepi.2010.04.004
  15. van Amelsvoort, L. G. P. M., Viechtbauer, W., & Spigt, M. (2009). Spuriously precise results from meta-analysis: Is better statistical correction or a more critical methodological assessment warranted? Journal of Clinical Epidemiology, 62(2), 123–125. https://doi.org/10.1016/j.jclinepi.2008.08.011
  16. Roberts, B. W., Walton, K., & Viechtbauer, W. (2006). Personality traits change in adulthood: Reply to Costa & McCrae (2006). Psychological Bulletin, 132(1), 29–32. https://doi.org/10.1037/0033-2909.132.1.29

Book Chapters

  1. Viechtbauer, W. (2022). Statistical methods for ESM data. In I. Myin-Germeys & P. Kuppens (Eds.), The open handbook of Experience Sampling Methodology: A step-by-step guide to designing, conducting, and analyzing ESM studies (2nd ed., pp. 153–183). Center for Research on Experience Sampling and Ambulatory Methods Leuven. https://www.kuleuven.be/samenwerking/real/real-book (data, code)
  2. Viechtbauer, W. (2022). Structuring, checking, and preparing ESM data. In I. Myin-Germeys & P. Kuppens (Eds.), The open handbook of Experience Sampling Methodology: A step-by-step guide to designing, conducting, and analyzing ESM studies (2nd ed., pp. 137–152). Center for Research on Experience Sampling and Ambulatory Methods Leuven. https://www.kuleuven.be/samenwerking/real/real-book (data, code)
  3. Viechtbauer, W. (2021). Model checking in meta-analysis. In C. H. Schmid, T. Stijnen, & I. R. White (Eds.), Handbook of meta-analysis (pp. 219–254). Boca Raton, FL: CRC Press.
  4. Viechtbauer, W. (2010). Meta-analyse. In H. Holling & B. Schmitz (Eds.), Handbuch Statistik, Methoden und Evaluation (pp. 743–756). Göttingen, Germany: Hogrefe.
  5. Viechtbauer, W. (2009). Bayesian analysis of clinical trials. In D. Kotz, M. G. Spigt, & J. W. L. Cals (Eds.), A delicate taste of science: Discussions and dinners from the Journal Club Mesch (pp. 83–85). Maastricht, School for Public Health and Primary Care.
  6. Viechtbauer, W. (2008). Analysis of moderator effects in meta-analysis. In J. Osborne (Ed.), Best practices in quantitative methods (pp. 471–487). Thousand Oaks, CA: Sage. https://doi.org/10.4135/9781412995627.d37
  7. Roberts, B. W., Kuncel, N. R., Viechtbauer, W., & Bogg, T. (2007). Meta-analysis in personality psychology: A primer. In R. W. Robins, R. C. Fraley, & R. F. Krueger (Eds.), Handbook of research methods in personality psychology (pp. 652–672). New York: Guilford Press.
  8. Viechtbauer, W., & Budescu, D. (2005). A model selection approach to testing dependent ICCs. In F. Dansereau & F. Yammarino (Eds.), Multi-level issues in strategy and research methods: Vol. 4. Research in multi-level issues (pp. 433–454). Amsterdam: JAI Press/Elsevier. https://doi.org/10.1016/S1475-9144(05)04019-1

Book Reviews

  1. Viechtbauer, W. (2011). Review of 'Graphics for Statistics and Data Analysis with R' by Kevin J. Keen. Statistics in Medicine, 30(22), 2765–2766. https://doi.org/10.1002/sim.4283
  2. Viechtbauer, W. (2007). Review of 'Publication bias in meta-analysis: Prevention, assessment and adjustment' by Hannah R. Rothstein, Alexander J. Sutton, and Michael Borenstein (Eds). Psychometrika, 72(2), 269–271. https://doi.org/10.1007/s11336-006-1450-y

Presentations

  1. Viechtbauer, W. (2023). A brief demo of the metafor package. Symposium on 'Recent Advances in Meta-Analysis: Methods and Software', Department of Medical Statistics, University Medical Center Göttingen, Germany. slides
  2. Viechtbauer, W. (2023). Confidence intervals for the amount of heterogeneity accounted for in meta-regression models. European Congress of Methodology, Ghent, Belgium. slides R code
  3. Viechtbauer, W. (2023). An overview of recent updates to the metafor package. Annual Meeting of the Society for Research Synthesis Methodology, Paris, France. slides R code
  4. Viechtbauer, W. (2023). 14 years of the metafor package: A retrospective. International Workshop on Psychometric Computing, University of Zurich, Switzerland.
  5. Viechtbauer, W. (2023). Some reflections on analyzing data from event-contingent designs in ESM/EMA. ESM Working Group, Open University, Heerlen, The Netherlands.
  6. Viechtbauer, W. (2023). Location-scale models for meta-analysis using the metafor package. Evidence Synthesis & Meta-Analysis in R Conference, Online. slides R code
  7. Viechtbauer, W. (2022). Meta-analysis, open science, and publication bias. Open Science Workshop: Promoting transparency & replicability in research, University of Tübingen. slides R code
  8. Viechtbauer, W. (2022). Monte Carlo simulations using the DSRI cluster. DSRI Community Event, Maastricht University. slides
  9. Viechtbauer, W. (2022). The metadat package: A collection of meta-analysis datasets for R. Evidence Synthesis & Meta-Analysis in R Conference, Online. slides
  10. Viechtbauer, W. (2021). A general workflow for complex meta-analyses with dependent effect sizes. International Workshop on 'Exploring the limits of advanced meta-analysis', Department of Statistics, TU Dortmund University, Online. slides
  11. Viechtbauer, W. (2021). Meta-analysis in R with the metafor package. Oslo useR! Group, Online. slides R code
  12. Viechtbauer, W. (2021). Median-unbiased estimators for the amount of heterogeneity in meta-analysis. European Congress of Methodology, Valencia, Spain. slides
  13. Viechtbauer, W. (2021). An overview of the metafor package with some interesting applications. Annual Meeting of the Society for Research Synthesis Methodology, Online. slides
  14. Viechtbauer, W. (2021). Selection models for publication bias in meta-analysis. Methods in Meta-Analysis Meeting, Online. slides
  15. Viechtbauer, W. (2021). Current methods for meta-analysis with dependent estimates. Centre for Evidence-Based Intervention, Department of Social Policy and Intervention, Oxford University. slides R code
  16. Viechtbauer, W. (2021). Selection models for publication bias in meta-analysis. Evidence Synthesis & Meta-Analysis in R Conference, Online.
  17. Viechtbauer, W. (2021). Automated report generation for meta-analyses using the R package metafor. Evidence Synthesis & Meta-Analysis in R Conference, Online.
  18. Viechtbauer, W. (2020). Selection models for publication bias in meta-analysis. Methodology and Statistics Colloquium, Tilburg University. slides
  19. Viechtbauer, W. (2020). Automated report generation for meta-analyses using the R package metafor. Evidence Synthesis Technology Webinar, Environmental Evidence Summit, Collaboration for Environmental Evidence. slides
  20. Viechtbauer, W. (2020). An introduction to network meta-analysis / mixed-treatment comparisons. Maastricht ISPOR Student Chapter, Maastricht, The Netherlands.
  21. Viechtbauer, W. (2019). Workshop on ecological momentary assessment data analysis. Symposium on longitudinal data-analysis, Experimental Psychopathology Post-Graduate School, Heeze, The Netherlands.
  22. Viechtbauer, W. (2019). Bimodality of the likelihood function of the random-effects model in meta-analysis. Annual Meeting of the Society for Research Synthesis Methodology, Chicago, IL. slides
  23. Viechtbauer, W. (2019). Local optima in the likelihood function of the random-effects model for meta-analysis. 40th Annual Conference of the International Society for Clinical Biostatistics, Leuven, Belgium. slides
  24. Viechtbauer, W. (2019). Changes in response behavior over time in ESM studies: Is there reason for concern? 6th Biennial Conference of the Society for Ambulatory Assessment, Syracuse, NY. slides
  25. Viechtbauer, W. (2019). The R package metafor: Past, present, and future. Research Synthesis 2019, Leibniz Institute for Psychology Information (ZPID), Dubrovnik, Croatia. slides
  26. Viechtbauer, W. (2019). R packages for research synthesis and meta-analysis. Evidence Synthesis Hackathon, Canberra, Australia. slides
  27. Viechtbauer, W. (2019). Research synthesis with R: From simple models to multilevel, multivariate, and network meta-analyses. ITEC Research Group, KU Leuven, Belgium. slides
  28. Viechtbauer, W. (2019). An introduction to longitudinal meta-analysis in R with the metafor package. Lifespan Social-Personality Preconference, Society for Personality and Social Psychology (SPSP) Annual Convention, Portland, OR. slides
  29. Viechtbauer, W. (2018). Meta-analysis in R with the metafor package. Evidence Synthesis Hackathon, Stockholm, Sweden. slides
  30. Viechtbauer, W. (2017). Some applications of multivariate multilevel models in the context of ESM/EMA studies. ESM Working Group (Center of Contextual Psychiatry and the Research Group of Quantitative Psychology and Individual Differences), KU Leuven, Belgium. slides.
  31. Viechtbauer, W. (2017). Reliability of ESM assessments of mood and mood sensitivity. 5th Biennial Conference of the Society for Ambulatory Assessment, University of Luxembourg. slides.
  32. Viechtbauer, W. (2017). From Pearson to phylogenetic meta-analysis: An overview of 110 years of developments in research synthesis methodology. Seminar talk at the Department of Biology, University of Mississippi.
  33. Viechtbauer, W. (2016). An introduction to meta-analysis: History, methods, misconceptions, and recent developments. Colloquium talk at the Department of Psychology, University of Basel, Switzerland. slides
  34. Viechtbauer, W. (2016). Alternative weighting schemes in the random-effects model to reduce the impact of publication bias. Annual Meeting of the Society for Research Synthesis Methodology, Florence, Italy. slides
  35. Viechtbauer, W. (2016). Estimating and interpreting heterogeneity and summary effects. Cochrane Statistical Methods Group Training Event, Birmingham, UK. slides
  36. Viechtbauer, W. (2016). Multilevel, multivariate, and network meta-analytical models for complex evidence synthesis. Department of Methodology and Statistics, Maastricht University, The Netherlands.
  37. Viechtbauer, W. (2016). Multilevel, multivariate, and network meta-analysis with the metafor package in R. Department of Medical Statistics, University of Göttingen, Göttingen, Germany. slides
  38. Viechtbauer, W. (2016). Meta-analysis with R: The metafor package. GESIS - Leibniz Institute for the Social Sciences, Mannheim, Germany. slides
  39. Viechtbauer, W. (2015). Statistics with free and open-source software. School for Mental Health and Neuroscience, Maastricht University, The Netherlands. slides
  40. Viechtbauer, W. (2015). Methods for random‐effects model meta-analyses with inclusion of small studies. Meeting of the Statistical Methods Group, Cochrane Colloquium, Vienna, Austria.
  41. Viechtbauer, W. (2015). Permutation testing in the context of mixed-effects models. Interdisciplinary Center Psychopathology and Emotion Regulation, University of Groningen, The Netherlands.
  42. Viechtbauer, W. (2015). Beyond standard meta-analysis: Multilevel, multivariate, and network meta-analytical models for complex evidence synthesis. Department of Biological Psychology, VU University Amsterdam, The Netherlands.
  43. Viechtbauer, W. (2015). Meta‐analysis with correlation coefficients when one or both variables have been artificially dichotomized. Annual Meeting of the Society for Research Synthesis Methodology, Nashville, Tennessee.
  44. Viechtbauer, W. (2014). Meta-analysis of product-moment, tetrachoric, and biserial correlations. European Congress of Methodology, Utrecht, The Netherlands.
  45. Viechtbauer, W. (2014). Multilevel, multivariate, and network meta-analysis with R. Annual Meeting of the Society for Research Synthesis Methodology, York, UK.
  46. Viechtbauer, W. (2014). Multivariate, multilevel, and network meta-analysis with R. Second Workshop on Synthesizing Complex Statistical Models, Institute for Sociology and Social Psychology, University of Cologne, Germany.
  47. Viechtbauer, W. (2013). Tales from the ward: Methodological and statistical challenges in psychiatric research. Department of Methodology and Statistics, Maastricht University, The Netherlands.
  48. Viechtbauer, W. (2012). The arm-based model as an alternative to the standard (contrast-based) approach when meta-analyzing treatment and intervention effects. European Congress of Methodology, Santiago de Compostela, Spain.
  49. Viechtbauer, W. (2012). Many roads lead to Rome: The standard, the multilevel, and the bivariate meta-analysis model. Annual Meeting of the Society for Research Synthesis Methodology, Aix-en-Provence, France.
  50. Viechtbauer, W. (2012). Erweiterungen der Standard-Meta-Analyse: Meta-Regression, Multilevel-Modelle, multivariate Verfahren und Netzwerk-Meta-Analysen. Institute of Medical Biostatistics, Epidemiology and Informatics (IMBEI), University Medical Center, Johannes Gutenberg University, Mainz, Germany.
  51. Viechtbauer, W. (2011). An introduction to longitudinal data analysis via mixed-effects models. Department of Psychiatry, University of Hong Kong.
  52. Viechtbauer, W. (2010). Conducting meta-analyses and meta-regression with R. Annual Meeting of the German Association for Medical Informatics, Biometry, and Epidemiology, Mannheim, Germany.
  53. Viechtbauer, W. (2010). Conducting meta-analyses in R with the metafor package. Annual Meeting of the Society for Research Synthesis Methodology, Cartagena, Spain.
  54. Viechtbauer, W. (2009). Outlier and influential case diagnostics for meta-analysis. Annual Meeting of the Society for Research Synthesis Methodology, Seattle, Washington.
  55. Viechtbauer, W. (2009). A brief introduction to meta-analysis with emphasis on understanding and interpreting the results. Faculty of Economics and Management, Free University of Bozen-Bolzano, Italy.
  56. Viechtbauer, W. (2009). Understanding and interpreting the results from meta-analyses. Department of Psychology, National University of Singapore.
  57. Viechtbauer, W. (2008). A second look at fixed- and random-effects models in meta-analysis: Does the fixed-effects model really assume homogeneous effect sizes? Annual Meeting of the Society for Research Synthesis Methodology, Corfu, Greece.
  58. Viechtbauer, W. (2008). A comparison of fixed-, random-, and mixed-effects models in meta-analysis. Annual Conference of the Society for Industrial and Organizational Psychology, San Francisco.
  59. Viechtbauer, W. (2008). Conditional and unconditional inferences in meta-analysis. Department of Methodology and Statistics, Tilburg University, The Netherlands.
  60. Viechtbauer, W. (2008). Exact confidence intervals for measures of heterogeneity in meta-analysis. Seminar on Measuring Heterogeneity in Meta-Analysis, University of Reading, UK.
  61. Viechtbauer, W. (2008). No tolerance for credibility intervals in meta-analysis: Only tolerance intervals are credible. Department of Medical Statistics and Bioinformatics, Leiden University Medical Center, The Netherlands.
  62. Viechtbauer, W. (2007). Tolerance intervals for random-effects models with application to meta-analysis. Annual Meeting of the Psychometric Society, Tokyo, Japan.
  63. Viechtbauer, W. (2007). Outlier detection in meta-analysis via studentized deleted residuals. Annual Campbell Colloquium, London, UK.
  64. Viechtbauer, W. (2007). Improved estimation of the sampling variances in meta-analysis via iterative model fitting. Congress on Methodology in the Health and Social Sciences, Barcelona, Spain.
  65. Viechtbauer, W. (2007). Examining and testing categorical moderators in meta-analysis: A comparison of procedures. Interdisciplinary Workshop on Meta-Analysis, Institute for Employment Research, Nuremberg, Germany.
  66. Viechtbauer, W. (2006). A new conceptualization of moderator tests in meta-analysis and its implications. Annual Meeting of the Psychometric Society, Montreal, Canada.
  67. Viechtbauer, W. (2006). Publication bias and meta-analysis. Annual Meeting of the Care and Public Health Research Institute, Maastricht University, The Netherlands.
  68. Viechtbauer, W. (2006). An introduction to meta-analysis and the publication bias problem. Department of Statistics, University of Dortmund, Germany.
  69. Viechtbauer, W. (2005). Testing changes in the intra-class correlation coefficient over time or conditions. Conference of the Methods and Evaluation Section of the German Psychological Society, Münster, Germany.
  70. Viechtbauer, W. (2005). A call for moderator analysis via the mixed-effects model in meta-analysis. Joint Statistical Meeting, Minneapolis, Minnesota.
  71. Viechtbauer, W. (2005). Confidence intervals for the amount of heterogeneity in meta-analytic random- and mixed-effects models. Annual Meeting of the Psychometric Society, Tilburg, The Netherlands.
  72. Viechtbauer, W. (2005). Estimating, testing, and obtaining confidence intervals for (the amount of) heterogeneity in meta-analysis. Spanish Conference on Biometrics, Oviedo, Spain.
  73. Viechtbauer, W. (2004). Model selection in meta-analysis. Department of Methodology and Statistics, Maastricht University, The Netherlands.
  74. Viechtbauer, W. (2004). Choosing between the fixed-, random-, and mixed-effects model in meta-analysis. Max Planck Institute for Demographic Research, Rostock, Germany.
  75. Viechtbauer, W. (2003). Empirical coverage probabilities of approximate confidence intervals for the standardized mean difference. Quantitative Division Seminar, Department of Psychology, University of Illinois, Urbana-Champaign.
  76. Viechtbauer, W. (2002). Bias of certain variance estimators in meta-analysis. Quantitative Division Seminar, Department of Psychology, University of Illinois, Urbana-Champaign.

Grants and Funding

  • Making results of smoking cessation trials more useful to policy and practice: Identifying the effective behavioural components of smoking cessation support provided to intervention and control groups by applying innovative methods for evidence syntheses. Co-Investigator (PI: Marijn de Bruin), Cancer Research UK, €318,000.
  • Development of mHealth Tools in Health Care. Co-Investigator (PI: Jim van Os), Province of Limburg, €93,000.
  • NWO Graduate School grant. Co-Investigator (PI: Jim van Os), NWO (Graduate Programme), €800,000.
  • Improving the efficiency of routines for multilevel/multivariate meta-analyses in the metafor package. PI, Vanderbilt University, $10,000.
  • Collaborative research: ABI Development: Making advanced statistical tools accessible for quantitative research synthesis and discovery in ecology and evolutionary biology. Co-Investigator (PI: Byron Wallace), NSF, $255,934.
  • A phase 2B, multi-center, randomized, double-blinded, parallel-arm, study to assess efficacy and safety of 3'-AmNic-rEPA (NicVAX®) or placebo co-administered with varenicline (Champix®) as an aid in smoking cessation. Co-Investigator (PI: Onno van Schayck), Nabi Biopharmaceuticals and ZonMw, €775,000.
  • Determining the cost-effectiveness of an effective intervention to improve adherence among treatment-experienced HIV-infected patients in the Netherlands. Co-Investigator (PI: Marijn de Bruin), ZonMw, €428,095.
  • Helping more smokers to quit by COmbining VArenicline with COunselling for smoking cessation: The COVACO randomized controlled trial. Co-Investigator (PI: Daniel Kotz), Pfizer and Stichting Gezondheidscentra Eindhoven (SGE), €300,000.

Software Development

  • metafor: A Meta-Analysis Package for R
    • Description: The metafor package is a comprehensive collection of functions for conducting meta-analyses in R. The package includes functions to calculate various effect sizes or outcome measures, fit fixed-, random-, and mixed-effects models to such data, carry out moderator and meta-regression analyses, and create various types of meta-analytical plots (e.g., forest, funnel, radial, L'Abbé, Baujat, bubble, and GOSH plots). For meta-analyses of binomial and person-time data, the package also provides functions that implement specialized methods, including the Mantel-Haenszel method, Peto's method, and a variety of suitable generalized linear (mixed-effects) models (i.e., mixed-effects logistic and Poisson regression models). Finally, the package provides functionality for fitting meta-analytic multivariate/multilevel models that account for non-independent sampling errors and/or true effects (e.g., due to the inclusion of multiple treatment studies, multiple endpoints, or other forms of clustering). Network meta-analyses and meta-analyses accounting for known correlation structures (e.g., due to phylogenetic relatedness) can also be conducted. An introduction to the package can be found in Viechtbauer (2010).
    • Package website: https://www.metafor-project.org
    • Package documentation: https://wviechtb.github.io/metafor/
    • GitHub repo: https://github.com/wviechtb/metafor
  • metadat: Meta-Analysis Datasets for R
    • Description: The metadat package is an R data package that contains a large collection of meta-analysis datasets. These datasets are useful for teaching purposes, illustrating/testing meta-analytic methods, and validating published analyses.
    • Package documentation: https://wviechtb.github.io/metadat/
    • GitHub repo: https://github.com/wviechtb/metadat
  • mathjaxr: Using Mathjax in Rd Files
    • Description: The mathjaxr package bundles MathJax and provides a number of macros that allow R package authors to make use of high-quality rendered equations and mathematical notation in the documentation of their package.
    • GitHub repo: https://github.com/wviechtb/mathjaxr
  • poolr: Package for Pooling the Results from (Dependent) Tests
    • Description: The poolr package contains functions for pooling/combining the results (i.e., p-values) from (dependent) hypothesis tests. Included are Fisher’s method, Stouffer's method, the inverse chi-square method, the Bonferroni method, Tippett's method, and the binomial test. Each method can be adjusted based on an estimate of the effective number of tests or using empirically derived null distribution using pseudo replicates. For Fisher's, Stouffer's, and the inverse chi-square method, direct generalizations based on multivariate theory are also available (leading to Brown's method, Strube's method, and the generalized inverse chi-square method). For an introduction to the package, see Cinar and Viechtbauer (2022).
    • Package documentation: https://ozancinar.github.io/poolr/
    • GitHub repo: https://github.com/ozancinar/poolr
  • esmpack: A Package to Facilitate Preparation and Management of ESM/EMA Data

Consulting / Collaborations

  • Research collaboration with Shinichi Nakagawa (School of Biological, Earth and Environmental Sciences, University of New South Wales, Australia) on statistical methods for meta-analysis, with focus on applications in ecology and evolution, 2019-present.
  • Research collaboration with Inez Myin-Germeys and various members of the Center for Contextual Psychiatry at KU Leuven on various applied and methodological projects related to the use of the experience sampling method and other ambulatory assessment methods, 2016-present.
  • Statistical consulting for Daniel Kotz (Addiction Research and Clinical Epidemiology Unit, University Hospital of Düsseldorf) on various projects related to smoking addiction/cessation, 2015-present.
  • Research collaboration with Marijn de Bruin (Radboud University Nijmegen) on various applied and methodological topics related to the design, evaluation, and synthesis of interventions to support a healthy lifestyle, 2013-present.
  • Joint research with Marcel van Assen (Tilburg University), Perke Jacobs (Max Planck Institute for Human Development), and Robbie van Aert (Tilburg University) on statistical methods for meta-analysis, 2013-present.
  • Joint research with Julio Sánchez-Meca, Fulgencio Marín-Martínez, José López-López (University of Murcia), and Wim Van Den Noortgarte (University of Leuven) on statistical methods for meta-analysis, 2009-present.
  • Statistical/methodological consultant on numerous projects for various departments throughout Maastricht University (systematic reviews, meta-analyses, cohort studies, randomized clinical trials), 2006-present.
  • Part of a multidisciplinary research team consisting of computer scientists, clinical researchers, and biostatisticians based at the Center for Evidence Based Medicine at Brown University, to implement advanced statistical methods for meta-analysis in open source software, 2012-2015.
  • Part of the working group "Solving problems in model selection and phylogeny in mixed multi-factor meta-analysis" led by Jason Hoeksema (University of Mississippi) at the National Evolutionary Synthesis Center (NESCent), 2012-2015.
  • Statistical consultant for Georges Steffgen (University of Luxembourg) and Sophie Reccia on a meta-analysis examining the relationship between school climate and school violence, 2011-2012.
  • Research collaboration with Michael Bosnjak (University of Mannheim) and several graduate students on a meta-analysis examining the relationship between workplace exposure to environmental tobacco smoke and lung cancer risk, 2007-2008.
  • Statistical consultant for Neil Cohen (University of Illinois): Analysis of data from repeated-measures experiments using a variety of techniques, including repeated-measures ANOVA, MANOVA, and mixed-effects models, 2003-2004.
  • Statistical consultant for the Association for the Advancement of Mental Patients and the Mentally Disabled, Aachen, Germany: Determination of prognostic factors for a positive therapy outcome for clients in a rehabilitation facility and an out-patient clinic, 1996.
  • Research assistant at Illinois State University for Salvatore Catanzaro, Connie Horton, John Pryor, and Valeri Farmer-Dougan: Data collection, data analysis, and literature reviews, 1995-1998.

Teaching Experience

  • Meta-Analysis Course
    • Contents: Graduate level course on methods for meta-analysis. Topics covered include: steps of a systematic review, extracting/calculating effect sizes and outcome measures for meta-analyses, equal/fixed/random/mixed-effects models, moderator analyses (meta-regression and subgrouping), model diagnostics (identifying outliers and influential studies) and sensitivity analyses, publication bias, multilevel/multivariate/network meta-analysis models (for handling dependent/correlated outcomes), missing data, and meta-analytic techniques for individual participant data.
    • Roles: Course Coordinator, Lecturer, Tutorial Instructor.
    • Taught: Freie Universität Berlin 2014, Tilburg University 2012-2018, University of Bern 2013/2017, Experimental Psychopathology (EPP) Post-Graduate School 2013, Cologne International Summer University 2013, Graduate School for Production Ecology & Resource Conservation (PE&RC) 2012, IMPRS Uncertainty Summer School 2011, Maastricht University 2009, University of Mannheim 2008, European Association of Personality Psychology (EAPP) Summer School 2009, Interuniversity Graduate School of Psychometrics and Sociometrics (IOPS) 2006/2008/2011/2014/2016/2018, University of Basel 2017, University of Illinois at Urbana-Champaign 2017, Heidelberg University 2018, University of Zurich 2022, Online 2020-2022.
  • Advanced MA Course
    • Contents: Graduate level course on advanced methods for meta-analysis. Topics covered include: multilevel and multivariate models for meta-analysis, methods for dealing with dependent/correlated outcomes, network meta-analysis (multiple/mixed treatment comparisons), models with crossed random effects, and phylogenetic meta-analysis.
    • Roles: Course Coordinator, Lecturer, Tutorial Instructor.
    • Taught: Vanderbilt University 2015, Flanders Training Network for Methodology and Statistics (FLAMES) Summer School 2019, Conference of the Section Methods and Evaluation of the German Psychological Society 2019.
  • ESM Data Analysis Course
    • Contents: Graduate level course on methods for analyzing intensive longitudinal data as collected in studies using experience sampling method. Topics covered include: introduction to ESM and related methods, data checking/preparation/cleaning, mixed-effects models for analyzing multilevel data (random intercepts and slopes models), models allowing for correlation in the residuals (serial/autocorrelation), models with more than two levels, checking model assumptions, model selection/comparison/testing, models for other types of outcomes (e.g., dichotomous, multinomial, ordinal), psychometrics (reliability, validity, factor analysis with multilevel data), power analysis, and various advanced topics.
    • Roles: Course Coordinator, Lecturer, Tutorial Instructor.
    • Taught: Maastricht University 2014/2015/2018/2019, University of Leuven 2017, University of Zurich 2018, Online 2021.
  • Introduction to R Course / Open Online Introduction to R Course
    • Contents: Graduate level course on the statistical programming language R. Topics covered include: history of R, basic data structures, data import/export, data inspection/manipulation, methods for graphing data, statistical methods for continuous and categorical data, strategies for finding and working with add-on packages, programming structures, writing documents with R Markdown.
    • Roles: Course Coordinator, Lecturer, Tutorial Instructor.
    • Taught: Maastricht University 2012/2014-2016/2019-2023, Online 2020 (3x).
  • Stat Lunch
    • Contents: A semi-regular series of lectures (in the spirit of a brown bag seminar) provided to members of the Department of Psychiatry and Neuropsychology and the School for Mental Health and Neuroscience. Topics include a wide variety of statistical and methodological issues.
    • Role: Lecturer.
    • Taught: Maastricht University 2013-2015.
  • ESM Course
    • Contents: Two/three-day workshop providing an introduction to the methodological and practical aspects of conducting research using the experience sampling method (ESM) in psychopathology research and other areas. Topics covered include: background on the experience sampling method, techniques used in collecting intensive longitudinal data, questionnaires development and structure, statistical methods used for analyzing ESM data, and practical aspects of implementing ESM studies.
    • Role: Lecturer.
    • Maastricht University 2014-2022, University of Leuven 2019/2022.
  • Psychiatric Epidemiology
    • Contents: Graduate level seminar providing an introduction to the methods and analytical strategies of epidemiology as applied to mental health outcomes. The principles and practice of various study types (e.g., cohort, case-control, RCT) are described, with emphasis on interpreting associations and possible causality thereof. Consideration is given to such issues as confounding, bias, and effect modification. Further topics covered include the use and interpretation of diagnostic studies, the basic principles of analyzing dichotomous, count, and time-to-event outcomes (i.e., logistic regression, Poisson regression, survival analysis), and the use of systematic reviews and meta-analysis for building cumulative knowledge.
    • Roles: Course Coordinator, Lecturer.
    • Taught: Maastricht University 2013-2023.
  • Psychometrics Practicum
    • Contents: Graduate level seminar that provides a thorough overview of the basic principles of psychological measurement (i.e., psychometrics). Topics that are covered include: classical test theory, reliability analysis (e.g., test-retest, parallel forms, split-half, Cronbach's alpha), validity (e.g., content, criterion, construct), principal component analysis, factor analysis (exploratory and confirmatory), and item response theory.
    • Role: Course Coordinator, Lecturer.
    • Taught: Maastricht University 2012-2022.
  • Research Methods I and II & Research Proposal Writing
    • Contents: Three course sequence providing an introduction to research methods in the social and health sciences. Topics covered include: the scientific method and conceptual foundations of research, correlational, experimental, and quasi-experimental research, experimental design, measurement, sampling, survey research, questionnaire construction, data preparation and analysis, research ethics, and research proposal writing.
    • Roles: Course Coordinator, Lecturer, Tutorial Instructor.
    • Taught: Maastricht University 2005-2010.
  • Factor Analysis and Multilevel Data Analysis
    • Contents: Graduate level course for students in various Master level programs. Topics covered include: principal component analysis, exploratory and confirmatory factor analysis, and hierarchical linear modeling for multilevel and repeated measures designs.
    • Roles: Planning Group Member, Lecturer, Tutorial Instructor.
    • Taught: Maastricht University 2007-2010.
  • Statistical Methods 3.2B
    • Contents: Methods and techniques for evaluation research, analysis of variance and multiple regression with dummy-coded variables, analysis of covariance, analysis of repeated measurements with ANOVA and multivariate methods, sample size calculations, systematic reviews, and meta-analysis.
    • Role: Tutorial Instructor.
    • Taught: Maastricht University 2007-2008.
  • Statistical Methods 2.1B
    • Contents: Experimental design in epidemiological research, methods for qualitative research, classical test theory and test development, multiple linear regression, and logistic regression.
    • Role: Tutorial Instructor.
    • Taught: Maastricht University 2006-2010.
  • Statistical Methods 1.3
    • Contents: Introduction to research methods in the health sciences; research design, qualitative research, descriptive statistics, correlation, and simple linear regression.
    • Role: Tutorial Instructor.
    • Taught: Maastricht University 2008-2009.
  • Statistical Methods II
    • Contents: Graduate level course covering complex experimental designs with emphasis on the general linear model, including Latin Squares, factorial, nested and split-plot designs, analysis of covariance, repeated-measures designs, random- and mixed-effects models, nonparametric methods, and categorical data analysis.
    • Role: Teaching Assistant.
    • Taught: University of Illinois 2000-2003.
  • Statistical Methods I
    • Contents: Graduate level course covering various techniques in applied statistics used in psychological research, including linear regression, partial and multiple correlation, thorough review of statistical estimation and significance testing, experimental design, ANOVA, and statistical computing.
    • Role: Teaching Assistant.
    • Taught: University of Illinois 2000-2003.
  • Introduction to Statistics
    • Contents: Development of skill and understanding of statistical methods in psychological research. Topics covered include: descriptive statistics, basic probability theory and distributions, point and interval estimation, and hypothesis testing.
    • Role: Teaching Assistant.
    • Taught: University of Illinois 1998-1999.

Committees / Service

Honors and Awards

  • Clarivate Analytics 'Highly Cited Researcher', 2019 and 2020
  • Olkin Award (Lifetime Achievement Award of the Society for Research Synthesis Methodology), 2019
  • Paper of the Year award (as co-author), Journal of Physiotherapy, 2011
  • Visiting appointment, National University of Singapore, Isaac Manasseh Meyer Fellowship, 2009
  • Elected Member of the Society for Research Synthesis Methodology, 2009
  • Best Article by a Junior Scientist, European Association of Methodology, 2006
  • Honorable Mention, Robert Bohrer Workshop in Statistics, University of Illinois, 2003
  • List of Teachers Ranked as Excellent by Students, University of Illinois, 2001
  • Top Ten Senior Reception, Psychology Department, Illinois State University, 1998
  • Mortar Board (Senior Academic Honor Society), Illinois State University, 1997-1998
  • Bone Student Scholar Award, highest academic designation at Illinois State University, 1997
  • Certificate of Recognition for Scholarly Contributions, International Honor Society in Psychology, 1997
  • Honors Office Scholarship, Illinois State University, 1997
  • International Office Academic Scholarship, Illinois State University, 1997
  • Honors Mentorship Award, Illinois State University, 1997
  • International Honor Society in Psychology, vice-president, Illinois State University chapter, 1996-1998
  • Golden Key Honor Society, Illinois State University, 1996-1998
  • University Deans List, Illinois State University, 1994-1998

Research Interests

  • Meta-analysis
  • Mixed-effects models
  • Longitudinal data analysis
  • Multilevel models
  • Computational statistics

Computer Skills

Editorial Work

Memberships

Personal

  • Citizenship: German
  • Languages: English, German, Dutch, French (some)
cv.txt · Last modified: 2023/06/06 06:48 by Wolfgang Viechtbauer