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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.
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Package details |
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| Author | Sy Han (Steven) Chiou [aut, cre], Chien-Lin Su [aut], Feng-Chang Lin [aut] |
| Maintainer | Sy Han (Steven) Chiou <schiou@smu.edu> |
| License | GPL (>= 2) |
| Version | 1.0.0 |
| Package repository | View on CRAN |
| Installation |
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