[Read-Only] All R code and source files for the online guide "Doing Meta-Analysis with R: A Hands-On Guide"

Official Git repository of R package netmeta

Your friendly neighbourhood component network meta-analysis on ADHD.

Detecting Outliers in Network Meta-Analysis

Source code for the Risk Of Bias due to Missing Evidence in Network meta-analysis (ROB-MEN) tool

R package, Shiny app, and browser tool for responder analysis of continuous outcomes

This project demonstrates an end-to-end workflow for clinical trial data curation and Bayesian network meta-analysis (NMA) using HbA1c outcomes aligned to a consistent Week 40–52 time window.The focus is on transforming heterogeneous reporting into analysis-ready datasets, supporting transparent comparative effectiveness evaluation.

AACT-powered advanced meta-analysis: auto-extract trial data from a ClinicalTrials.gov/AACT snapshot, then run pairwise/NMA/dose-response/proportions with a full advanced suite (Egger/Peters/trim-fill/PET-PEESE, leave-one-out, meta-regression, subgroup, cumulative, rare-events, NMA Bucher inconsistency). Offline, config-driven.

Powerful dependency-free meta-analysis engine: pairwise + network MA (SUCRA) + dose-response + proportions from one small JSON config. Offline HTML reports with plots. Built for low-API-quota use (Gemini CLI free tier).

One-stage meta-analysis of proportions from binomial data in Stata

This repository provides a fully reproducible R script for random‑effects network meta‑analysis of continuous outcomes, including data preparation, inconsistency assessment, treatment ranking, and publication bias evaluation.

Bayesian NMA of advanced NSCLC treatments across 10 studies using gemtc and JAGS — fixed/random effects models, DIC model selection, SUCRA rankings, full league table, node-splitting consistency check, and heterogeneity estimation for NICE STA submissions.

Study power behaviors of Bayesian Network Meta-analysis (NMA) using simulations and real-world case studies

Network meta-analysis R tutorial with AI-assisted prompt engineering for evidence synthesis, systematic review methodology, and comparative effectiveness research

The code of an article about NMA

Living Network Meta-Analysis engine — frequentist NMA in the browser. Graph-theoretic NMA (Rücker 2012), node-splitting consistency checks, P-scores.

Python code to apply rank aggregation methods to network meta-analysis