Integrative Survival Modeling

Contains implementations of the integrative Cox model with uncertain event times proposed by Wang, et al. (2020) , the regularized Cox cure rate model with uncertain event status proposed by Wang, et al. (2023) , and other survival analysis routines including the Cox cure rate model proposed by Kuk and Chen (1992) via an EM algorithm proposed by Sy and Taylor (2000) , the regularized Cox cure rate model with elastic net penalty following Masud et al. (2018) .

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.