Performance of location-scale models in meta-analysis: A simulation study.

ABSTRACT: Location-scale models in the field of meta-analysis allow researchers to simultaneously study the influence of moderator variables on the mean (location) and variance (scale) of the distribution of true effects. However, the increased complexity of such models can make model fitting challenging. Moreover, the statistical properties of the estimation and inference methods for such models have not been systematically examined in the meta-analytic context. We therefore conducted a Monte Carlo simulation study to compare different estimation methods (maximum or restricted maximum likelihood estimation), significance tests (Wald-type, permutation, and likelihood-ratio tests), and methods for constructing confidence intervals (Wald-type and profile-likelihood intervals) for the scale coefficient

SUBMITTER: Blazquez-Rincon D 

PROVIDER: S-EPMC11914364 | biostudies-literature | 2025 Mar

REPOSITORIES: biostudies-literature