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
You may install the latest released version on CRAN by
install.packages("intsurv")
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
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")
- 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.