crossurr
Cross-Fitting for Doubly Robust Evaluation of High-Dimensional Surrogate Markers
Doubly robust methods for evaluating surrogate markers as outlined in: Agniel D, Hejblum BP, Thiebaut R & Parast L (2022). "Doubly robust evaluation of high-dimensional surrogate markers", Biostatistics <doi:10.1093/biostatistics/kxac020>. You can use these methods to determine how much of the overall treatment effect is explained by a (possibly high-dimensional) set of surrogate markers.
- Version1.1.1
- R versionunknown
- LicenseMIT
- LicenseLICENSE
- Needs compilation?No
- crossurr citation info
- Last release06/14/2024
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Denis Agniel
Boris P. Hejblum
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- Imports13 packages