Clinical-trial and clinical-research statistical computing for Python
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PyStatsClinical
Clinical-trial and clinical-research statistical computing for Python.
Status: early / reserved (
0.0.1). This package reserves thepystatsclinicalname within the PyStatistics open-core ecosystem and will grow into a full clinical-research statistics library. The public API is forthcoming.
PyStatsClinical is part of the open-core PyStatistics family:
| Package | Layer |
|---|---|
pystatistics |
Fundamental, general statistics |
pystatsbio |
Biotech / pharma statistics |
pystatsclinical |
Clinical-trial / clinical-research statistics |
Like its siblings, it builds on pystatistics for the general statistical layer
and adds methods specific to clinical research.
Planned scope (candidates, not commitments)
- Treatment-effect readouts from a 2×2: number-needed-to-treat (NNT), absolute/relative risk reduction.
- Responder analysis: responder rate with confidence interval at a clinical threshold.
- Clinical-trial missing-data helpers (e.g. LOCF / BOCF imputation).
Installation
pip install pystatsclinical
License
MIT © Hai-Shuo. Part of the SGCX open-core ecosystem.
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