Novel methods for dose–response meta-analysis
Chapter 12 Network Meta-Analysis | Doing Meta-Analysis in R
Chapter 13 Meta-analysis and Publication Bias | Statistical Tools for Causal Inference
PDF) Laplace approximation, penalized quasi-likelihood, and adaptive Gauss-Hermite quadrature for generalized linear mixed models: Towards meta- analysis of binary outcome with sparse data
A Handbook of Statistical Analyses Using R
R1 PDF | PDF | Meta Analysis | Pub Med
dsur/sp_meta/meta.md at master · psygrammer/dsur · GitHub
Bayesian hierarchical models for network meta-analysis incorporating nonignorable missingness - Jing Zhang, Haitao Chu, Hwanhee Hong, Beth A Virnig, Bradley P Carlin, 2017
IJERPH | Free Full-Text | A Systematic Review and Meta-Analysis Investigating the Relationship between Exposures to Chemical and Non-Chemical Stressors during Prenatal Development and Childhood Externalizing Behaviors
Chapter 8 Meta-Regression | Doing Meta-Analysis in R
Likelihood-Based Tests and Confidence Regions | SpringerLink
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
IJERPH | Free Full-Text | A Systematic Review and Meta-Analysis Investigating the Relationship between Exposures to Chemical and Non-Chemical Stressors during Prenatal Development and Childhood Externalizing Behaviors
Fitting parametric random effects models in very large data sets with application to VHA national data | BMC Medical Research Methodology | Full Text
Novel methods for dose–response meta-analysis
From Experimental Network to Meta-analysis
Chapter 8 Meta-Regression | Doing Meta-Analysis in R
PDF) Effects models in very large data sets with application to VHA national data
Chapter 8 Meta-Regression | Doing Meta-Analysis in R
A Bayesian network meta-analysis for binary outcome: how to do it - Teresa Greco, Giovanni Landoni, Giuseppe Biondi-Zoccai, Fabrizio D'Ascenzo, Alberto Zangrillo, 2016
Chapter 13 Meta-analysis and Publication Bias | Statistical Tools for Causal Inference
Likelihood-Based Tests and Confidence Regions | SpringerLink
