pseudoCure
A Pseudo-Observations Approach for Analyzing Survival Data with a Cure Fraction
A collection of easy-to-use tools for regression analysis of survival data with a cure fraction proposed in Su et al. (2022) doi:10.1177/09622802221108579. The modeling framework is based on the Cox proportional hazards mixture cure model and the bounded cumulative hazard (promotion time cure) model. The pseudo-observations approach is utilized to assess covariate effects and embedded in the variable selection procedure.
- Version1.0.0
- R versionR (≥ 4.2.0)
- LicenseGPL-2
- LicenseGPL-3
- Needs compilation?Yes
- Last release02/06/2025
Documentation
Team
Sy Han (Steven) Chiou
MaintainerShow author detailsFeng-Chang Lin
Show author detailsRolesAuthorChien-Lin Su
Show author detailsRolesAuthor
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- Imports5 packages
- Linking To2 packages