PDF) Lessons learned from IDeAl — 33 recommendations from the IDeAl-net about design and analysis of small population clinical trials
JSM2007 - American Statistical Association
From Experimental Network to Meta-analysis
A comparison of hypothesis tests for homogeneity in meta‐analysis with focus on rare binary events - Zhang - 2021 - Research Synthesis Methods - Wiley Online Library
Novel methods for dose–response meta-analysis
Comparison of impact of synchronization protocols applied to ewes on pregnancy rate in Turkey with bayesian meta- analysis
Chapter 13 Meta-analysis and Publication Bias | Statistical Tools for Causal Inference
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
Fitting parametric random effects models in very large data sets with application to VHA national data
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
Likelihood-Based Tests and Confidence Regions | SpringerLink
Chapter 12 Network Meta-Analysis | Doing Meta-Analysis in R
Chapter 13 Meta-analysis and Publication Bias | Statistical Tools for Causal Inference
Novel methods for dose–response meta-analysis
Likelihood-Based Tests and Confidence Regions | SpringerLink
76 questions with answers in RANDOM EFFECTS ANALYSIS | Science topic
Statistical Learning | SpringerLink
Likelihood-Based Tests and Confidence Regions | SpringerLink
Comparison of impact of synchronization protocols applied to ewes on pregnancy rate in Turkey with bayesian meta- analysis
UNIVERSITÀ DEGLI STUDI DI MILANO TESI DI DOTTORATO DI RICERCA NETWORK META-ANALYSIS: A NOVEL APPROACH BASED ON A HIERARCHICAL D
76 questions with answers in RANDOM EFFECTS ANALYSIS | Science topic
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