JSM 2005 Online Program

Abstract #303414

This is the preliminary program for the 2005 Joint Statistical Meetings in Minneapolis, Minnesota. Currently included in this program is the "technical" program, schedule of invited, topic contributed, regular contributed and poster sessions; Continuing Education courses (August 7-10, 2005); and Committee and Business Meetings. This on-line program will be updated frequently to reflect the most current revisions.

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Activity Number:	516
Type:	Contributed
Date/Time:	Thursday, August 11, 2005 : 10:30 AM to 12:20 PM
Sponsor:	General Methodology
Abstract - #303414
Title:	A Call for Moderator Analysis via the Mixed-effects Model in Metaanalysis
Author(s):	Wolfgang Viechtbauer*+
Companies:	University of Maastricht
Address:	Department of Methodology and Statistics, Maastricht, 6200 MD, Netherlands
Keywords:	meta-analysis ; moderator analysis ; mixed-effects model
Abstract:	Moderator analysis in the context of metaanalysis denotes the search for study-level characteristics that influence the effect sizes. Characteristics of the studies commonly examined include the nature of the treatment provided, type of outcome measure, methods and procedures used in the study, characteristics of the sample, and the study setting. Moderator analyses often are conducted in the context of a fixed-effects model. However, it will be shown that the Type-I error of such moderator tests can become highly inflated (and, in fact, approaches one under certain conditions) when the model is misspecified or differences among the true effect sizes are purely random. Therefore, many moderators identified as using this approach tend to be spurious. On the other hand, moderator analysis via the mixed-effects model (which includes a variance component for random heterogeneity among the effect sizes) yields tests for moderators that adequately control the Type-I error rate.

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