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. 2013 Apr;14(2):144-56.
doi: 10.1007/s11121-011-0207-8.

Methods for synthesizing findings on moderation effects across multiple randomized trials

C Hendricks Brown  1 , Zili Sloboda, Fabrizio Faggiano, Brent Teasdale, Ferdinand Keller, Gregor Burkhart, Federica Vigna-Taglianti, George Howe, Katherine Masyn, Wei Wang, Bengt Muthén, Peggy Stephens, Scott Grey, Tatiana Perrino; Prevention Science and Methodology Group
Affiliations

Methods for synthesizing findings on moderation effects across multiple randomized trials

C Hendricks Brown et al. Prev Sci. 2013 Apr.

Abstract

This paper presents new methods for synthesizing results from subgroup and moderation analyses across different randomized trials. We demonstrate that such a synthesis generally results in additional power to detect significant moderation findings above what one would find in a single trial. Three general methods for conducting synthesis analyses are discussed, with two methods, integrative data analysis and parallel analyses, sharing a large advantage over traditional methods available in meta-analysis. We present a broad class of analytic models to examine moderation effects across trials that can be used to assess their overall effect and explain sources of heterogeneity, and present ways to disentangle differences across trials due to individual differences, contextual level differences, intervention, and trial design.

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Figures

Figure 1a
Figure 1a
The Process of Synthesis using Traditional Meta-Analysis
Figure 1b
Figure 1b
Schematic of Synthesis in Integrative Data Analysis.
Figure 1c
Figure 1c
Parallel Analysis Strategy for Synthesizing Moderation Analyses.
See this image and copyright information in PMC

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