Estimation of Smooth Hazard Models for Interval-Censored Data with Applications to Survival and Illness-Death Models

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.


Smooth Hazard Models for Interval-Censored Data with Applications to Survival and Illness-Death Models

This is an R-interface written by Celia Touraine and Thomas Alexander Gerds to a library of Fortran functions developed by Pierre Joly.

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install.packages("SmoothHazard")

1.4.1 by Thomas Alexander Gerds, 4 years ago


Browse source code at https://github.com/cran/SmoothHazard


Authors: Celia Touraine , Pierre Joly , Thomas A. Gerds


Documentation:   PDF Manual  


Task views: Survival Analysis


GPL (>= 2) license


Imports lava, mvtnorm

Depends on prodlim


See at CRAN