[Read-Only] All R code and source files for the online guide "Doing Meta-Analysis with R: A Hands-On Guide"
network-meta-analysis 开源项目推荐(19 个)
network-meta-analysis 话题在 GitHub 上没有填写简介,这里按 Star 数汇总最相关的热门仓库。
热门项目 全部 19
GitHub 共 19 个仓库,已全部展示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
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.
Phase 3 sample size and network meta-analysis for GLP-1 obesity drugs, in R and Shiny
Network meta-analysis R tutorial with AI-assisted prompt engineering for evidence synthesis, systematic review methodology, and comparative effectiveness research
Personal profile & research portfolio
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).
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.
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.
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.
Python code to apply rank aggregation methods to network meta-analysis
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.
Study power behaviors of Bayesian Network Meta-analysis (NMA) using simulations and real-world case studies
A reproducible frequentist Network Meta-Analysis (NMA) framework and research compendium evaluating multi-treatment trial evidence — 12 analytical modules, 14 publication exhibits (300 DPI), PRISMA-NMA compliant, implemented in R (netmeta)
关于这个话题
- 清单取自 GitHub 话题页并按 Star 数排序,每次展示前 19 个项目;原始页面见 https://github.com/topics/network-meta-analysis。
- 该话题在 GitHub 上共有 19 个仓库, 本站收录的是其中最热门的 19 个,不是全量列表。
- Star / Fork 每日自动刷新一次,实时数据以 GitHub 为准。
- 当前 19 个项目累计 573 Star,覆盖 5 种主要语言,数据更新于 2026-11-06。
- 中文介绍来自 GitHub 官方话题说明(github/explore)的机器翻译,可点「查看原文」对照;译文缺失时会先展示原文。