A comparison of hypothesis tests for homogeneity in meta‐analysis with focus on rare binary events - Zhang - - Research Synthesis Methods - Wiley Online Library
PDF) Statistical Analysis of Series of N-of-1 Trials Using SAS
Appraising Heterogeneity | SpringerLink
Uses for Multilevel Models | SpringerLink
PDF) bamdit : An R Package for Bayesian Meta-Analysis of Diagnostic Test Data
Fitting parametric random effects models in very large data sets with application to VHA national data | BMC Medical Research Methodology | Full Text
Chapter 13 Meta-analysis and Publication Bias | Statistical Tools for Causal Inference
Appraising Heterogeneity | SpringerLink
Appraising Heterogeneity | SpringerLink
COMPSTAT'2010 Book of Abstracts - Inria
Erinnern bekennen Gewähren restricted maximum likelihood dersimonian laird deviance aic bic Allmächtig Ehrlichkeit Unterscheidung
Chapter 13 Meta-analysis and Publication Bias | Statistical Tools for Causal Inference
Chapter 10: Analysing data and undertaking meta-analyses | Cochrane Training
A comparison of hypothesis tests for homogeneity in meta‐analysis with focus on rare binary events - Zhang - - Research Synthesis Methods - Wiley Online Library
Erinnern bekennen Gewähren restricted maximum likelihood dersimonian laird deviance aic bic Allmächtig Ehrlichkeit Unterscheidung
Package 'metafor' - The Comprehensive R Archive Network
Package 'metafor' - The Comprehensive R Archive Network
Appraising Heterogeneity | SpringerLink
MAJOR/metadichotomousmodel.b.R at master · kylehamilton/MAJOR · GitHub
Tutorial On Meta-Analysis In R
Fitting parametric random effects models in very large data sets with application to VHA national data | BMC Medical Research Methodology | Full Text
Fitting parametric random effects models in very large data sets with application to VHA national data | BMC Medical Research Methodology | Full Text
Chapter 13 Meta-analysis and Publication Bias | Statistical Tools for Causal Inference
PDF) Systematically missing confounders in individual participant data meta- analysis of observational studies
