Topic
Combinatorial meta-analysis
About: Combinatorial meta-analysis is a research topic. Over the lifetime, 3 publications have been published within this topic receiving 67 citations.
Papers
TL;DR: This work uses the summary effect sizes and other statistics produced by the all-subsets meta-analyses to generate graphs that can be used to investigate heterogeneity, identify influential studies, and explore subgroup effects.
Abstract: Estimates from individual studies included in a meta-analysis often are not in agreement, giving rise to statistical heterogeneity. In such cases, exploration of the causes of heterogeneity can advance knowledge by formulating novel hypotheses. We present a new method for visualizing between-study heterogeneity using combinatorial meta-analysis. The method is based on performing separate meta-analyses on all possible subsets of studies in a meta-analysis. We use the summary effect sizes and other statistics produced by the all-subsets meta-analyses to generate graphs that can be used to investigate heterogeneity, identify influential studies, and explore subgroup effects. This graphical approach complements alternative graphical explorations of data. We apply the method to numerous biomedical examples, to allow readers to develop intuition on the interpretation of the all-subsets graphical display. The proposed graphical approach may be useful for exploratory data analysis in systematic reviews. Copyright © 2012 John Wiley & Sons, Ltd.
250 citations
29 Mar 2019
TL;DR: In this paper, which data to analyze, and how, are fundamental questions of all empirical research, as there are always numerous flexibilities in data-analytic decisions (a "garden of forking paths"), t...
Abstract: . Which data to analyze, and how, are fundamental questions of all empirical research. As there are always numerous flexibilities in data-analytic decisions (a “garden of forking paths”), t...
56 citations
1 Jan 2005
TL;DR: A SAS (SAS Institute, 2001) macro written by the author based on another macro due to others, that performs jackknifed estimates of average effect size and suggests that ‘gravity’ is a property of studies included in a meta-analysis.
Abstract: While much theory abounds over properties of meta-analyses, there appears to be very little work to date on examining jackknifed and exact distributions of the statistics generated by the method. This paper takes an initial step towards filling that gap by describing a SAS (SAS Institute, 2001) macro written by the author based on
another macro due to others, that performs jackknifed estimates of average effect size. It also suggests that ‘gravity’ is a property of studies included in a meta-analysis.
A computer simulation supports the utility of the approach, and proposals for future development of exact and approximate methods in ‘combinatorial meta analysis’ are
set forward
5 citations
Performance Metrics
| Year | Papers |
|---|---|
| 2019 | 1 |
| 2012 | 1 |
| 2005 | 1 |