Meta‐analysis and mega‐analysis: A simple introduction

Joseph G. Eisenhauer

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Meta-analysis and systematic reviews Statistical Methods and Bayesian Inference Psychology Research and Bibliometrics

Abstract

Abstract Statistical methods are increasingly being used to integrate findings from the ever‐expanding universe of empirical research. Meta‐analysis encompasses various techniques for synthesizing summary statistics, and mega‐analysis pools raw data across studies. This paper offers an introduction to meta‐analysis and mega‐analysis that complements the study of analysis of variance (ANOVA). After a brief conceptual discussion, we provide simple numerical examples.

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2009Introduction to Meta‐Analysis 2015Methods of Meta-Analysis: Correcting Error and Bias in Research Findings 1976Primary, Secondary, and Meta-Analysis of Research 1995The Handbook of Research Synthesis.2017Research Synthesis and Meta-Analysis: A Step-by-Step Approach 2015Individual Participant Data (IPD) Meta-analyses of Randomised Controlled Trials: Guidance on Their Use 2009Weighting by Inverse Variance or by Sample Size in Random-Effects Meta-Analysis 2010On the relative efficiency of using summary statistics versus individual-level data in meta-analysis

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