Overcoming challenges in prevalence meta-analysis: the case for the Freeman-Tukey transform

The results suggest that the Freeman-Tukey transform is to be preferred over the logit transformation in the meta-analysis of prevalence.

Authors

Institutions

Publication Details

Journal
BMC Medical Research Methodology
Published
2025-04-05
DOI
https://doi.org/10.1186/s12874-025-02527-z
Citations
24
Primary Topic
Statistical Methods and Bayesian Inference
Type
article
Field-Weighted Citation Impact
60.49

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Overcoming challenges in prevalence meta-analysis: the case for the Freeman-Tukey transform

Tawanda Chivese, Suhail A.R. Doi, Jazeel Abdulmajeed
24 citations
BMC Medical Research Methodology
Statistical Methods and Bayesian Inference
60.49
article

Overcoming challenges in prevalence meta-analysis: the case for the Freeman-Tukey transform

Tawanda Chivese, Suhail A.R. Doi, Jazeel Abdulmajeed
article en
24 citations

Abstract

The results suggest that the Freeman-Tukey transform is to be preferred over the logit transformation in the meta-analysis of prevalence.

BMC Medical Research MethodologyVol. 25(1)
University of Washington Tacoma (US), Qatar University (QA)
British Society for Research on Ageing, Fonds National de la Recherche Luxembourg, Qatar University, Qatar National Research Fund, Qatar National Library
Openalex Percentile: Top 0%
Statistical Methods and Bayesian Inference
60.49
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.