dsur/sp_meta/meta.md at master · psygrammer/dsur · GitHub
From Experimental Network to Meta-analysis
Fitting parametric random effects models in very large data sets with application to VHA national data | BMC Medical Research Methodology | Full Text
Bayesian hierarchical models for network meta-analysis incorporating nonignorable missingness - Jing Zhang, Haitao Chu, Hwanhee Hong, Beth A Virnig, Bradley P Carlin, 2017
Chapter 8 Meta-Regression | Doing Meta-Analysis in R
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 8 Meta-Regression | Doing Meta-Analysis in R
76 questions with answers in RANDOM EFFECTS ANALYSIS | Science topic
A comparison of hypothesis tests for homogeneity in meta‐analysis with focus on rare binary events - Zhang - 2021 - Research Synthesis Methods - Wiley Online Library
Chapter 12 Network Meta-Analysis | Doing Meta-Analysis in R
Novel methods for dose–response meta-analysis
Likelihood-Based Tests and Confidence Regions | SpringerLink
Fitting parametric random effects models in very large data sets with application to VHA national data
Tutorial On Meta-Analysis In R
Novel methods for dose–response meta-analysis
PDF) Lessons learned from IDeAl — 33 recommendations from the IDeAl-net about design and analysis of small population clinical trials
Software to Conduct a Meta-Analysis and Network Meta-Analysis | SpringerLink
R1 PDF | PDF | Meta Analysis | Pub Med
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
A Handbook of Statistical Analyses Using R
Meta-Analysis of Odds Ratios: Current Good Practices. - Abstract - Europe PMC
