RoBMA R package for estimating robust Bayesian meta-analyses

Official Git repository of R package metasens

AI-integrated meta-analysis platform for research and education

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

Collection of Publication Bias Packages for the Metaverse

BITSS Reproducibility Workshop, New Delhi March 2017

Stata command implementing contour enhanced funnel plots for meta-analysis

ZfP 2024: Tool to predict prevalence of positive results in scientific abstracts.

"Publication bias and the canonization of false facts" published in eLife (2016)

PublicationBiasBenchmark is an R package for benchmarking publication bias correction methods through simulation studies.

This project aims at analyzing the publication metrics at the Instituto de Astronomía Teórica y Experimental (IATE, Argentina), in order to identify possible problems and to design new strategies to optimize resources and increase the impact of the research results obtained at the Institute.

AMPPS 2025: This repository contains anonymized data for a metascientific experiment on publication bias in decision making of clinical psychologists.

This is an R script for a minimal simulation of the influence of extreme publication bias (only significant results get published) on effect sizes.

Collabra 2025: Scripts and data for the study "Does Scientific Productivity Increase the Publication of Positive Results?" published in Collabra: Psychology.

Code for an R Package which implements identification & correction for Publication Bias using the approach by Andrews & Kasy (2019).

Data and R code to reproduce the results from 'Transcriptional responses as biomarkers of general toxicity' (Ekelund Ugge et al. 2022).

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.

Safety-facing carve-out: PBS-stratified abstention/calibration on 5 biology domains (CT/ADMET/SC-Perturbation/ClinVar/GWAS) × 2 providers × 2 prompt conditions

LLM agent for p-hacking & selective-reporting risk screening in academic PDFs.

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.