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

Conducting Meta-Analyses inRwith themetaforPackage

(2015) Wolfgang Viechtbauer   Journal of Statistical Software

Comparison of statistical inferences from the DerSimonian-Laird and alternative random-effects model meta-analyses - an empirical assessment of 920 Cochrane primary outcome meta-analyses

(2012) Kristian Thorlund et al.   Research Synthesis Methods

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

Higher-order likelihood inference in meta-analysis and meta-regression

(2011) Annamaria Guolo   STATISTICS IN MEDICINE

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

The evidence provided by a single trial is less reliable than its statistical analysis suggests

(2009) George F. Borm et al.   JOURNAL OF CLINICAL EPIDEMIOLOGY

Empirical vs natural weighting in random effects meta-analysis

(2009) Jonathan J. Shuster   STATISTICS IN MEDICINE