Erinnern bekennen Gewähren restricted maximum likelihood dersimonian laird deviance aic bic Allmächtig Ehrlichkeit Unterscheidung
A comparison of hypothesis tests for homogeneity in meta‐analysis with focus on rare binary events - Zhang - - Research Synthesis Methods - Wiley Online Library
Novel methods for dose–response meta-analysis
A comparison of hypothesis tests for homogeneity in meta‐analysis with focus on rare binary events - Zhang - - Research Synthesis Methods - Wiley Online Library
PDF) bamdit : An R Package for Bayesian Meta-Analysis of Diagnostic Test Data
Tutorial On Meta-Analysis In R
Appraising Heterogeneity | SpringerLink
Fitting parametric random effects models in very large data sets with application to VHA national data | BMC Medical Research Methodology | Full Text
PDF) bamdit : An R Package for Bayesian Meta-Analysis of Diagnostic Test Data
Chapter 10: Analysing data and undertaking meta-analyses | Cochrane Training
Erinnern bekennen Gewähren restricted maximum likelihood dersimonian laird deviance aic bic Allmächtig Ehrlichkeit Unterscheidung
Erinnern bekennen Gewähren restricted maximum likelihood dersimonian laird deviance aic bic Allmächtig Ehrlichkeit Unterscheidung
Package 'metafor' - The Comprehensive R Archive Network
Erinnern bekennen Gewähren restricted maximum likelihood dersimonian laird deviance aic bic Allmächtig Ehrlichkeit Unterscheidung
PDF) Statistical Analyses | Alfonso Cubillos - Academia.edu
COMPSTAT'2010 Book of Abstracts - Inria
Conducting Meta-Analysis using Metafor Packages
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
Erinnern bekennen Gewähren restricted maximum likelihood dersimonian laird deviance aic bic Allmächtig Ehrlichkeit Unterscheidung
Appraising Heterogeneity | SpringerLink
Novel methods for dose–response meta-analysis
Fitting parametric random effects models in very large data sets with application to VHA national data | BMC Medical Research Methodology | Full Text
