Wolfgang Viechtbauer

Marginally significant (p = .07)

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The metafor Package

If you are looking for information about the metafor package for R, please go to the package website.

Google Scholar

A list of my publications and citation information/indices can be found on Google Scholar.

Cross Validated

Occasionally, I contribute to Cross Validated, a question and answer website for people interested in statistics, machine learning, data analysis, data mining, and data visualization (link to my profile).


presentations

Presentations

  1. Viechtbauer, W. (2016). 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.
  2. 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
  3. 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
  4. Viechtbauer, W. (2016). Estimating and interpreting heterogeneity and summary effects. Cochrane Statistical Methods Group Training Event, Birmingham, UK. slides
  5. Viechtbauer, W. (2016). Multilevel, multivariate, and network meta-analytical models for complex evidence synthesis. Department of Methodology and Statistics, Maastricht University, The Netherlands.
  6. 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
  7. Viechtbauer, W. (2016). Meta-analysis with R: The metafor package. GESIS - Leibniz Institute for the Social Sciences, Mannheim, Germany. slides
  8. Viechtbauer, W. (2015). Statistics with free and open-source software. School for Mental Health and Neuroscience, Maastricht University, The Netherlands. slides
  9. 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.
  10. Viechtbauer, W. (2015). Permutation testing in the context of mixed-effects models. Interdisciplinary Center Psychopathology and Emotion Regulation, University of Groningen, The Netherlands.
  11. 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.
  12. 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.
  13. Viechtbauer, W. (2014). Meta-analysis of product-moment, tetrachoric, and biserial correlations. European Congress of Methodology, Utrecht, The Netherlands.
  14. Viechtbauer, W. (2014). Multilevel, multivariate, and network meta-analysis with R. Annual Meeting of the Society for Research Synthesis Methodology, York, UK.
  15. 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.
  16. Viechtbauer, W. (2013). Tales from the ward: Methodological and statistical challenges in psychiatric research. Department of Methodology and Statistics, Maastricht University, The Netherlands.
  17. 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.
  18. 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.
  19. 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.
  20. Viechtbauer, W. (2011). An introduction to longitudinal data analysis via mixed-effects models. Department of Psychiatry, University of Hong Kong.
  21. 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.
  22. Viechtbauer, W. (2010). Conducting meta-analyses in R with the metafor package. Annual Meeting of the Society for Research Synthesis Methodology, Cartagena, Spain.
  23. Viechtbauer, W. (2009). Outlier and influential case diagnostics for meta-analysis. Annual Meeting of the Society for Research Synthesis Methodology, Seattle, Washington.
  24. Viechtbauer, W. (2009). A brief introduction to meta-analysis with emphasis on understanding and interpreting the results. School of Economics and Management, Free University of Bozen - Bolzano, Italy.
  25. Viechtbauer, W. (2009). Understanding and interpreting the results from meta-analyses. Department of Psychology, National University of Singapore.
  26. 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.
  27. 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.
  28. Viechtbauer, W. (2008). Conditional and unconditional inferences in meta-analysis. Department of Methodology and Statistics, Tilburg University, The Netherlands.
  29. Viechtbauer, W. (2008). Exact confidence intervals for measures of heterogeneity in meta-analysis. Seminar on Measuring Heterogeneity in Meta-Analysis, sponsored by the Quantitative Biology and Applied Statistics Section and the Royal Statistical Society, Reading Local Group, University of Reading, UK.
  30. 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.
  31. Viechtbauer, W. (2007). Tolerance intervals for random-effects models with application to meta-analysis. Annual Meeting of the Psychometric Society, Tokyo, Japan.
  32. Viechtbauer, W. (2007). Outlier detection in meta-analysis via studentized deleted residuals. Annual Campbell Colloquium, London, UK.
  33. 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.
  34. 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.
  35. Viechtbauer, W. (2006). A new conceptualization of moderator tests in meta-analysis and its implications. Annual Meeting of the Psychometric Society, Montreal, Canada.
  36. Viechtbauer, W. (2006). Publication bias and meta-analysis. Annual Meeting of the Care and Public Health Research Institute (CAPHRI), Maastricht University, The Netherlands.
  37. Viechtbauer, W. (2006). An introduction to meta-analysis and the publication bias problem. Department of Statistics, University of Dortmund, Germany.
  38. 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.
  39. Viechtbauer, W. (2005). A call for moderator analysis via the mixed-effects model in meta-analysis. Joint Statistical Meeting, Minneapolis, Minnesota.
  40. 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.
  41. Viechtbauer, W. (2005). Estimating, testing, and obtaining confidence intervals for (the amount of) heterogeneity in meta-analysis. Spanish Conference on Biometrics, Oviedo, Spain.
  42. Viechtbauer, W. (2004). Model selection in meta-analysis. Department of Methodology and Statistics, Maastricht University, The Netherlands.
  43. Viechtbauer, W. (2004). Choosing between the fixed-, random-, and mixed-effects model in meta-analysis. Max Planck Institute for Demographic Research, Rostock, Germany.
  44. 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.
  45. 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: 2017/02/23 21:37 by Wolfgang Viechtbauer