Welcome!
Pymeta is an online meta-analysis tool created and supported by PythonMeta, a Python package for meta-analysis.
This web-based application is designed to perform various Evidence-based medicine (EBM) tasks, such as:
- Combining effect measures (OR, RR, RD for count data; MD, SMD for continuous data)
- Conducting heterogeneity tests (Q/chi-square test)
- Conducting subgroup analyses
- Performing cumulative meta-analysis
- Conducting sensitivity analysis (one or two factors)
- Drawing plots, such as forest plots, funnel plots, and bar-line, cross-block plots
Our web pages are compatible with handheld devices, such as Android and iPhone, which means you can access this tool via your mobile phone anytime, anywhere, enjoy!
This is an ongoing project, and we welcome any questions or suggestions you may have. Please contact us via email or leave a message in our
Guestbook.
Paper citations & media reports:
Safoora 2022,
Felix 2022,
Stella 2023,
c19early.org,
Zhou 2024,
Ling 2025
researchers site,
SR Toolbox (PythonMeta),
SR Toolbox (Pymeta),
EBHC 26th Newsletter,
Cochrane,
Towards Data Science,
stackoverflow,
Amazon,
知乎,
CSDN,
bilibili
