Integrative Survival Modeling
Bayesian Information Criterion (BIC)
Bayesian Information Criterion (BIC)
Standard Error Estimates through Bootstrap
Concordance Index
Estimated Covariates Coefficients
Estimated Covariate Coefficients
Estimated Covariate Coefficients
Cox Cure Rate Model
Regularized Cox Cure Rate Model
An S4 Class to Represent a Fitted Integrative Cox Model
Auxiliary for Controlling iCoxph Fitting
Integrative Cox Model for Uncertain Event Times
Auxiliary for Starting iCoxph Fitting
Integrative Survival Modeling
Show Methods
Simulate Data from Cox Cure Model with Uncertain Event Status
Simulated Survival Data with Uncertain Records
Summary of a Fitted Model
Summary of a Fitted Model
An S4 Class to Represent Summary of a fitted integrative Cox model
An S4 Class Representing Formula Response
Formula Response for Survival Data With Uncertain Event Times
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>.
Useful links