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

Power Approximations for Overall Average Effects in Meta-Analysis With Dependent Effect Sizes

(2022) Mikkel Helding Vembye et al.   JOURNAL OF EDUCATIONAL AND BEHAVIORAL STATISTICS

Methods for evidence synthesis in the case of very few studies

(2018) Ralf Bender et al.   Research Synthesis Methods

Testing for funnel plot asymmetry of standardized mean differences

(2018) James E. Pustejovsky et al.   Research Synthesis Methods

Standardized mean differences cause funnel plot distortion in publication bias assessments

(2017) Peter-Paul Zwetsloot et al.   eLife

Meta-analysis of few small studies in orphan diseases

(2016) Tim Friede et al.   Research Synthesis Methods

Hartung-Knapp-Sidik-Jonkman approach and its modification for random-effects meta-analysis with few studies

(2015) Christian Röver et al.   BMC Medical Research Methodology

Meta-analysis in clinical trials revisited

(2015) Rebecca DerSimonian et al.   Contemporary Clinical Trials

Methods to estimate the between-study variance and its uncertainty in meta-analysis

(2015) Areti Angeliki Veroniki et al.   Research Synthesis Methods

The Hartung-Knapp-Sidik-Jonkman method for random effects meta-analysis is straightforward and considerably outperforms the standard DerSimonian-Laird method

(2014) Joanna IntHout et al.   BMC Medical Research Methodology

Characteristics of meta-analyses and their component studies in the Cochrane Database of Systematic Reviews: a cross-sectional, descriptive analysis

(2011) Jonathan Davey et al.   BMC Medical Research Methodology