Re-expressing coefficients from regression models for inclusion in a meta-analysis.

ABSTRACT: Meta-analysis poses a challenge when original study results have been expressed in a non-uniform manner, such as when regression results from some original studies were based on a log-transformed key independent variable while in others no transformation was used. Methods of re-expressing regression coefficients to generate comparable results across studies regardless of data transformation have recently been developed. We examined the relative bias of three re-expression methods using simulations and 15 real data examples where the independent variable had a skewed distribution. Regression coefficients from models with log-transformed independent variables were re-expressed as though they were based on an untransformed variable. We compared the re-expressed coefficients to those from a mo

SUBMITTER: Linakis MW 

PROVIDER: S-EPMC10773134 | biostudies-literature | 2024 Jan

REPOSITORIES: biostudies-literature