Jointly pooling aggregated effect sizes and their standard errors from studies with continuous clinical outcomes.

ABSTRACT: The DerSimonian-Laird (DL) weighted average method for aggregated data meta-analysis has been widely used for the estimation of overall effect sizes. It is criticized for its underestimation of the standard error of the overall effect size in the presence of heterogeneous effect sizes. Due to this negative property, many alternative estimation approaches have been proposed in the literature. One of the earliest alternative approaches was developed by Hardy and Thompson (HT), who implemented a profile likelihood instead of the moment-based approach of DL. Others have further extended this likelihood approach and proposed higher-order likelihood inferences (e.g., Bartlett-type corrections). In addition, corrections factors for the estimated DL standard error, like the Hartung-Knapp-Sidik-Jon

SUBMITTER: Almalik O 

PROVIDER: S-EPMC9796109 | biostudies-literature | 2022 Oct

REPOSITORIES: biostudies-literature