Both fixed effects (FE) and random effects (RE) meta-analysis models have been used widely in published meta-analyses. This article shows that FE models typically manifest a substantial Type I bias in significance tests for mean effect sizes and for moderator variables (interactions), while RE ...
effectvs.randomeffectsmodels...21 Theconcept...21 Definitionofacombinedeffect...21 Computingthecombinedeffect...
比如,心理学家和经济学家也许会因为FE和RE的问题“打架”——心理学家可能会说“我们更推荐用随机效应模型(random-effects model)!”,而经济学家可能会说“我们基本都用固定效应模型(fixed-effect model)!”。但实际上,在各自熟悉的知识框架下理解FE和RE,就如同“盲人摸象”,双方可能都只看到了冰山一角。正因为...
Meta-Analysis Fixedeffectvs.randomeffects MichaelBorenstein LarryHedges HannahRothstein .Meta-Analysis©2007Borenstein,Hedges,Rothstein|1 Section:Fixedeffectvs.randomeffectsmodels...4 Overview...4 Fixedeffectmodel...
There are 2 families of statistical procedures in meta-analysis: fixed- and random-effects procedures. They were developed for somewhat different inference... L.V. Hedges,J.L. Vevea - 《Psychological Methods》 被引量: 2782发表: 1998年 Fixed-Effect Versus Random-Effects Models There are 2 fami...
Fixed-effect versus random-effects models. Introduction to meta-analysis. Wiley, Ltd; 2009. p. 77-86.Borenstein, M., Hedges, L. V., Higgins, J. P. T., & Rothstein, H. R. (2009). Fixed-Effect Versus Random-Effects Models. In Introduction to Meta-Analysis (pp. 77-86). John ...
Over a few decades ago, meta-analysis has rapidly developed in various fields of studies to improve the quality of previous research by quantitative review. Quantitative review assesses an overall magnitude of the effect from multiple studies. Hence, the objective in this dissertation is to determine...
There are two popular statistical models for meta-analysis, the fixed-effect model and the random-effects model. The fact that these two models employ similar sets of formulas to compute statistics, and sometimes yield similar estimates for the various parameters, may lead people to believe that ...
Specif- ically, this article will show how SEM-based meta-analysis can be used to handle missing covariates, to quantify the heterogeneity of effect sizes, and to address the heteroge- neity of effect sizes with mixture models in a meta-analysis. Another benefit of the proposed approach is ...
For the Mantel-Haenszel and Peto common-effect models, between-subgroup heterogeneity is handled as described above for random-effects models Differences from Stata 16's "meta" suite In June 2019, Stata version 16 introduced a suite of built-in meta-analysis commands, with the prefixmeta. Forest...