Description
Integrative Survival Modeling.
Description
Contains implementations of the integrative Cox model with uncertain event times proposed by Wang, et al. (2020) <doi:10.1214/19-AOAS1287>, the regularized Cox cure rate model with uncertain event status proposed by Wang, et al. (2023) <doi:10.1007/s12561-023-09374-w>, and other survival analysis routines including the Cox cure rate model proposed by Kuk and Chen (1992) <doi:10.1093/biomet/79.3.531> via an EM algorithm proposed by Sy and Taylor (2000) <doi:10.1111/j.0006-341X.2000.00227.x>, the regularized Cox cure rate model with elastic net penalty following Masud et al. (2018) <doi:10.1177/0962280216677748>.
README.md
intsurv
The {intsurv} R package contains implementations of
- integrative Cox model with uncertain event times (Wang et al., 2020)
- regularized Cox cure rate model with uncertain event status (Wang et al., 2023)
and other survival analysis routines, including
- Cox cure rate model
- regularized Cox cure rate model with elastic net penalty
Installation
Install from CRAN by running:
install.packages("intsurv")
Usage
For examples and detailed documentation, check:
- CRAN reference manual: https://cran.r-project.org/web/packages/intsurv/refman/intsurv.html
- Package site: https://wwenjie.org/intsurv/
References
- Wang, W., Aseltine, R. H., Chen, K., & Yan, J. (2020). Integrative Survival Analysis with Uncertain Event Times in Application to A Suicide Risk Study. Annals of Applied Statistics, 14(1), 51--73.
- Wang, W., Luo, C., Aseltine, R. H., Wang, F., Yan, J., & Chen, K. (2023). Survival Modeling of Suicide Risk with Rare and Uncertain Diagnoses. Statistics in Biosciences, 17(1), 35--61.