Fixed-effect Versus Random-effects Models for Meta-analyses: Random-effects Models

Alex L E Halme; Kristen McAlpine; Alberto Martini

doi:10.1016/j.euf.2023.10.023

Fixed-effect Versus Random-effects Models for Meta-analyses: Random-effects Models

Eur Urol Focus. 2023 Sep;9(5):693-694. doi: 10.1016/j.euf.2023.10.023. Epub 2023 Nov 7.

Authors

Alex L E Halme¹, Kristen McAlpine², Alberto Martini³

Affiliations

¹ Faculty of Medicine, University of Helsinki, Helsinki, Finland. Electronic address: [email protected].
² Department of Surgery, Division of Urology, University of Toronto, Toronto, Canada.
³ Department of Urology, University of Texas MD Anderson Cancer Center, Houston, TX, USA.

PMID: 37945406
DOI: 10.1016/j.euf.2023.10.023

Abstract

Random-effects models can account for variability both within and between studies. This makes them suitable for meta-analyses in surgery, where there is often significant heterogeneity between studies or heterogeneity owing to intrinsic differences attributable to patient or population factors.