Wolfgang Viechtbauer

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Presentations

  1. Viechtbauer, W. (2024). Model selection in complex meta-analyses. Symposium on 'Recent Advances in Meta-Analysis', Department of Medical Statistics, University Medical Center Göttingen, Germany. slides R code
  2. Viechtbauer, W. (2024). A fail-safe N computation based on the random-effects model. Annual Meeting of the Society for Research Synthesis Methodology, Amsterdam, The Netherlands. slides
  3. Viechtbauer, W. (2024). A second look at the fail-safe N method for assessing the potential impact of publication bias on a meta-analysis. Department of Psychology, University of Münster, Germany. slides
  4. Viechtbauer, W. (2023). Autocorrelation over nights in ESM data. ESM Working Group, Maastricht University, The Netherlands.
  5. 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
  6. 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
  7. 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
  8. Viechtbauer, W. (2023). 14 years of the metafor package: A retrospective. International Workshop on Psychometric Computing, University of Zurich, Switzerland.
  9. Viechtbauer, W. (2023). Some reflections on analyzing data from event-contingent designs in ESM/EMA. ESM Working Group, Open University, Heerlen, The Netherlands.
  10. Viechtbauer, W. (2023). Location-scale models for meta-analysis using the metafor package. Evidence Synthesis & Meta-Analysis in R Conference, Online. slides R code
  11. Viechtbauer, W. (2022). Meta-analysis, open science, and publication bias. Open Science Workshop: Promoting transparency & replicability in research, University of Tübingen. slides R code
  12. Viechtbauer, W. (2022). Monte Carlo simulations using the DSRI cluster. DSRI Community Event, Maastricht University. slides
  13. Viechtbauer, W. (2022). The metadat package: A collection of meta-analysis datasets for R. Evidence Synthesis & Meta-Analysis in R Conference, Online. slides
  14. 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
  15. Viechtbauer, W. (2021). Meta-analysis in R with the metafor package. Oslo useR! Group, Online. slides R code
  16. Viechtbauer, W. (2021). Median-unbiased estimators for the amount of heterogeneity in meta-analysis. European Congress of Methodology, Valencia, Spain. slides
  17. Viechtbauer, W. (2021). An overview of the metafor package with some interesting applications. Annual Meeting of the Society for Research Synthesis Methodology, Online. slides
  18. Viechtbauer, W. (2021). Selection models for publication bias in meta-analysis. Methods in Meta-Analysis Meeting, Online. slides
  19. 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
  20. Viechtbauer, W. (2021). Selection models for publication bias in meta-analysis. Evidence Synthesis & Meta-Analysis in R Conference, Online.
  21. Viechtbauer, W. (2021). Automated report generation for meta-analyses using the R package metafor. Evidence Synthesis & Meta-Analysis in R Conference, Online.
  22. Viechtbauer, W. (2020). Selection models for publication bias in meta-analysis. Methodology and Statistics Colloquium, Tilburg University. slides
  23. 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
  24. Viechtbauer, W. (2020). An introduction to network meta-analysis / mixed-treatment comparisons. Maastricht ISPOR Student Chapter, Maastricht, The Netherlands.
  25. Viechtbauer, W. (2019). Workshop on ecological momentary assessment data analysis. Symposium on longitudinal data-analysis, Experimental Psychopathology Post-Graduate School, Heeze, The Netherlands.
  26. 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
  27. 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
  28. 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
  29. Viechtbauer, W. (2019). The R package metafor: Past, present, and future. Research Synthesis 2019, Leibniz Institute for Psychology Information (ZPID), Dubrovnik, Croatia. slides
  30. Viechtbauer, W. (2019). R packages for research synthesis and meta-analysis. Evidence Synthesis Hackathon, Canberra, Australia. slides
  31. Viechtbauer, W. (2019). Research synthesis with R: From simple models to multilevel, multivariate, and network meta-analyses. ITEC Research Group, KU Leuven, Belgium. slides
  32. 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
  33. Viechtbauer, W. (2018). Meta-analysis in R with the metafor package. Evidence Synthesis Hackathon, Stockholm, Sweden. slides
  34. 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.
  35. 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.
  36. 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.
  37. 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
  38. 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
  39. Viechtbauer, W. (2016). Estimating and interpreting heterogeneity and summary effects. Cochrane Statistical Methods Group Training Event, Birmingham, UK. slides
  40. Viechtbauer, W. (2016). Multilevel, multivariate, and network meta-analytical models for complex evidence synthesis. Department of Methodology and Statistics, Maastricht University, The Netherlands.
  41. 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
  42. Viechtbauer, W. (2016). Meta-analysis with R: The metafor package. GESIS - Leibniz Institute for the Social Sciences, Mannheim, Germany. slides
  43. Viechtbauer, W. (2015). Statistics with free and open-source software. School for Mental Health and Neuroscience, Maastricht University, The Netherlands.
  44. 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.
  45. Viechtbauer, W. (2015). Permutation testing in the context of mixed-effects models. Interdisciplinary Center Psychopathology and Emotion Regulation, University of Groningen, The Netherlands.
  46. 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.
  47. 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.
  48. Viechtbauer, W. (2014). Meta-analysis of product-moment, tetrachoric, and biserial correlations. European Congress of Methodology, Utrecht, The Netherlands.
  49. Viechtbauer, W. (2014). Multilevel, multivariate, and network meta-analysis with R. Annual Meeting of the Society for Research Synthesis Methodology, York, UK.
  50. 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.
  51. Viechtbauer, W. (2013). Tales from the ward: Methodological and statistical challenges in psychiatric research. Department of Methodology and Statistics, Maastricht University, The Netherlands.
  52. 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.
  53. 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.
  54. 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.
  55. Viechtbauer, W. (2011). An introduction to longitudinal data analysis via mixed-effects models. Department of Psychiatry, University of Hong Kong.
  56. 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.
  57. Viechtbauer, W. (2010). Conducting meta-analyses in R with the metafor package. Annual Meeting of the Society for Research Synthesis Methodology, Cartagena, Spain.
  58. Viechtbauer, W. (2009). Outlier and influential case diagnostics for meta-analysis. Annual Meeting of the Society for Research Synthesis Methodology, Seattle, Washington.
  59. 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.
  60. Viechtbauer, W. (2009). Understanding and interpreting the results from meta-analyses. Department of Psychology, National University of Singapore.
  61. 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.
  62. 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.
  63. Viechtbauer, W. (2008). Conditional and unconditional inferences in meta-analysis. Department of Methodology and Statistics, Tilburg University, The Netherlands.
  64. Viechtbauer, W. (2008). Exact confidence intervals for measures of heterogeneity in meta-analysis. Seminar on Measuring Heterogeneity in Meta-Analysis, University of Reading, UK.
  65. 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.
  66. Viechtbauer, W. (2007). Tolerance intervals for random-effects models with application to meta-analysis. Annual Meeting of the Psychometric Society, Tokyo, Japan.
  67. Viechtbauer, W. (2007). Outlier detection in meta-analysis via studentized deleted residuals. Annual Campbell Colloquium, London, UK.
  68. 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.
  69. 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.
  70. Viechtbauer, W. (2006). A new conceptualization of moderator tests in meta-analysis and its implications. Annual Meeting of the Psychometric Society, Montreal, Canada.
  71. Viechtbauer, W. (2006). Publication bias and meta-analysis. Annual Meeting of the Care and Public Health Research Institute, Maastricht University, The Netherlands.
  72. Viechtbauer, W. (2006). An introduction to meta-analysis and the publication bias problem. Department of Statistics, University of Dortmund, Germany.
  73. 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.
  74. Viechtbauer, W. (2005). A call for moderator analysis via the mixed-effects model in meta-analysis. Joint Statistical Meeting, Minneapolis, Minnesota.
  75. 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.
  76. Viechtbauer, W. (2005). Estimating, testing, and obtaining confidence intervals for (the amount of) heterogeneity in meta-analysis. Spanish Conference on Biometrics, Oviedo, Spain.
  77. Viechtbauer, W. (2004). Model selection in meta-analysis. Department of Methodology and Statistics, Maastricht University, The Netherlands.
  78. Viechtbauer, W. (2004). Choosing between the fixed-, random-, and mixed-effects model in meta-analysis. Max Planck Institute for Demographic Research, Rostock, Germany.
  79. 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.
  80. Viechtbauer, W. (2002). Bias of certain variance estimators in meta-analysis. Quantitative Division Seminar, Department of Psychology, University of Illinois, Urbana-Champaign.
presentations.txt · Last modified: 2024/08/29 16:04 by Wolfgang Viechtbauer