precmed
Precision Medicine
A doubly robust precision medicine approach to fit, cross-validate and visualize prediction models for the conditional average treatment effect (CATE). It implements doubly robust estimation and semiparametric modeling approach of treatment-covariate interactions as proposed by Yadlowsky et al. (2020)
- GitHub
- https://smartdata-analysis-and-statistics.github.io/precmed/
- File a bug report
- precmed results
- precmed.pdf
- Version1.1.0
- R version≥ 3.5.0
- LicenseApache License (== 2.0)
- Needs compilation?No
- Last release10/05/2024
Documentation
Team
Thomas Debray
Lu Tian
Xiaotong Jiang
Gabrielle Simoneau
Biogen MA Inc.
Show author detailsRolesCopyright holderStan Wijn
Joana Caldas
Show author detailsRolesContributor
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Dependencies
- Depends1 package
- Imports13 packages