A comparison of heterogeneity variance estimators in simulated random-effects meta-analyses

A comparison of seven random-effects models for meta-analyses that estimate the summary odds ratio

(2018) Dan Jackson et al.   STATISTICS IN MEDICINE

A general framework for the use of logistic regression models in meta-analysis

(2016) Mark C Simmonds et al.   STATISTICAL METHODS IN MEDICAL RESEARCH

Hartung-Knapp method is not always conservative compared with fixed-effect meta-analysis

(2016) Anna Wiksten et al.   STATISTICS IN MEDICINE

Comparative performance of heterogeneity variance estimators in meta-analysis: a review of simulation studies

(2016) Dean Langan 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

A decade of individual participant data meta-analyses: A review of current practice

(2015) Mark Simmonds et al.   Contemporary Clinical Trials

An empirical comparison of heterogeneity variance estimators in 12 894 meta-analyses

(2015) Dean Langan et al.   Research Synthesis Methods

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

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

Conducting Meta-Analyses inRwith themetaforPackage

(2015) Wolfgang Viechtbauer   Journal of Statistical Software

Random-Effects Meta-analysis of Inconsistent Effects: A Time for Change

(2014) John E. Cornell et al.   ANNALS OF INTERNAL MEDICINE

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

Methods for calculating confidence and credible intervals for the residual between-study variance in random effects meta-regression models

(2014) Dan Jackson et al.   BMC Medical Research Methodology

Estimation of between-trial variance in sequential meta-analyses: A simulation study

(2013) Putri W. Novianti et al.   Contemporary Clinical Trials

A Re-Analysis of the Cochrane Library Data: The Dangers of Unobserved Heterogeneity in Meta-Analyses

(2013) Evangelos Kontopantelis et al.   PLoS One

Avoiding zero between-study variance estimates in random-effects meta-analysis

(2013) Yeojin Chung et al.   STATISTICS IN MEDICINE

Meta-Analysis of Rare Binary Adverse Event Data

(2012) Dulal K. Bhaumik et al.   JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION

Estimating heterogeneity variance in meta-analysis

(2012) Andrew L. Rukhin   JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY

Performance of statistical methods for meta-analysis when true study effects are non-normally distributed: A comparison between DerSimonian–Laird and restricted maximum likelihood

(2012) Evangelos Kontopantelis et al.   STATISTICAL METHODS IN MEDICAL RESEARCH

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

Quantifying, displaying and accounting for heterogeneity in the meta-analysis of RCTs using standard and generalised Qstatistics

(2011) Jack Bowden et al.   BMC Medical Research Methodology

Performance of statistical methods for meta-analysis when true study effects are non-normally distributed: A simulation study

(2010) Evangelos Kontopantelis et al.   STATISTICAL METHODS IN MEDICAL RESEARCH

Confidence intervals for random effects meta-analysis and robustness to publication bias

(2010) Masayuki Henmi et al.   STATISTICS IN MEDICINE

Random effects meta-analysis of event outcome in the framework of the generalized linear mixed model with applications in sparse data

(2010) Theo Stijnen et al.   STATISTICS IN MEDICINE