Based on statistics: interpret fixed effect model and random effect model
CHENG Li-li
LEI Peng
TAO Yuan
GU Hui-yun
ZHANG Chao
ZHAO Guo-zhong
Abstract：Most of Meta-analysis will use fixed effect model (FEM) or random effect model (REM), and FEM assumes that there is common true effect size in all included studies, while true effect size in REM will change according to different included studies. The mean of pooled effect size will be different as different models are used, which is not only reflected on the average, but also much on the weight distribution of each included study. Main purpose of this article is to deeply analyze these two models and their assumptions, distinguish their similarities and difference, calculate each study's weight and pooled effect size by these two models, and finally point out and compare their advantages and disadvantages.
Keywords：Random effect modelFixed effect modelEffect sizeStatistics
Publication Date：2017-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：4( 261-264 )