Estimation of Smooth Hazard Models for Interval-Censored Data
Fit an illness-death model
Generate illness-death model objects
M-spline estimate of the transition intensity function
Plot method for an illness-death model
Plot method for a survival model.
Predictions for an illness-death model using either a penalized likeli...
Print method for idm objects
Print method for shrSplines objects
Fit a survival model
Simulate illness-death model data
Simulate interval censored survival data
Sample illness-death model data
Summary of a fitted illness-death model
Summary of a fitted survival model using a penalized likelihood approa...
Generate survival model objects
Estimation of two-state (survival) models and irreversible illness- death models with possibly interval-censored, left-truncated and right-censored data. Proportional intensities regression models can be specified to allow for covariates effects separately for each transition. We use either a parametric approach with Weibull baseline intensities or a semi-parametric approach with M-splines approximation of baseline intensities in order to obtain smooth estimates of the hazard functions. Parameter estimates are obtained by maximum likelihood in the parametric approach and by penalized maximum likelihood in the semi-parametric approach.