Robust variance estimation in small meta-analysis with the standardized mean difference

Fri, 26 Jan 2024 00:00:00 +0000

Effect sizes in ANCOVA and difference-in-differences designs

Thu, 26 Jan 2023 00:00:00 +0000

An evaluation of statistical methods for aggregate patterns of replication failure

Fri, 19 Mar 2021 21:11:36 +0000

Adjusting for covariates with the standardized mean difference effect size

Mon, 01 Jan 0001 00:00:00 +0000

Abstract: Adjusting for baseline characteristics (e.g., pre-tests) is common practice when evaluating the effects of interventions. While it has been long-known that the use of these adjustments typically leads to an increase in precision of treatment effect estimates in primary analyses of randomized trials, representing the results of such analyses in terms of effect sizes, however, has received little attention. In this article, we provide a framework for defining effect sizes in designs with a pre-test and propose estimators of those effect sizes. The estimators and approximations to their sampling distributions are evaluated using a simulation study and then demonstrated using an example from published data.

Larry V. Hedges | Rrita Zejnullahi

Robust variance estimation in small meta-analysis with the standardized mean difference

Effect sizes in ANCOVA and difference-in-differences designs

An evaluation of statistical methods for aggregate patterns of replication failure

Adjusting for covariates with the standardized mean difference effect size