Fixed-Effect vs Random-Effects Models for Meta-Analysis: 3 Points to Consider
Year: 2022
Type: article
Abstract: Meta-analysis is the statistical procedure for combining data from multiple studies.Meta-analyses are being conducted with increasing frequency (Figure 1).Compared to a single clinical study, they can increase statistical power, improve accuracy, and provide a summary of findings with respect to key clinical questions.Understanding the statistical models underlying the analysis is important.Most meta-analyses are based on 1 of 2 statistical models, the fixed-effect model or the random-effects model.
Source: Global Spine Journal
Institutions: Spectrum Research (United States), Swedish Medical Center
Language: English
Subfield: Statistics, Probability and Uncertainty
Field: Decision Sciences
Domain: Social Sciences
Open Access status: gold
Estimated APC paid: $2,100
OpenAlex ID: W4283165588
