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
Regularied Cox Cure Rate Model with Elastic-Net Penalty
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 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>.
Useful links