Description
Integrative Survival Modeling.
Description
Contains implementations of integrative survival analysis routines, including regular 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>, regularized Cox cure rate model with elastic net penalty following Masud et al. (2018) <doi:10.1177/0962280216677748>, and Zou and Hastie (2005) <doi:10.1111/j.1467-9868.2005.00503.x>, and weighted concordance index for cure models proposed by Asano and Hirakawa (2017) <doi:10.1080/10543406.2017.1293082>.
README.md
intsurv
The R package intsurv contains implementations of
- integrative Cox model with uncertain event times (Wang et al., 2020)
- Cox cure rate model with uncertain event status (Wang et al., 2020)
and other survival analysis routines, including
- regular Cox cure rate model
- regularized Cox cure rate model with elastic net penalty
- weighted concordance index
Installation
You may install the latest released version on CRAN by
install.packages("intsurv")
Get Started
Examples are provided for the main functions for model-fitting in the package. One may get started from those examples and the function documentation.
library(intsurv)
?iCoxph # integrative Cox model
?cox_cure # Cox cure rate model
?cox_cure_net # regularized Cox cure rate model
Development
If the version under development is able to pass the automated package checks, one may consider installing it with the help of remotes by
if (! require(remotes)) install.packages("remotes")
remotes::install_github("wenjie2wang/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. (2020). Suicide Risk Modeling with Uncertain Diagnostic Records. arXiv preprint arXiv:2009.02597.