R package SmoothHazard: Fitting illness-death model for interval-censored data. SmoothHazard is a package for fitting illness-death (and survival) model with possibly interval-censored data for transition toward transient state. Left-truncated and right-censored data are also allowed. Proportional intensities regression models allow for covariates on each of the 3 transitions. 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. Estimation of parameters is conducted by likelihood maximization in the parametric approach or penalized likelihood maximization in the semi-parametric approach.
Keywords for this software
References in zbMATH (referenced in 4 articles )
Showing results 1 to 4 of 4.
- Wanneveich, Mathilde; Jacqmin-Gadda, Hélène; Dartigues, Jean-François; Joly, Pierre: Projections of health indicators for chronic disease under a semi-Markov assumption (2018)
- Binder, Nadine; Herrnböck, Anne-Sophie; Schumacher, Martin: Estimating hazard ratios in cohort data with missing disease information due to death (2017)
- Célia Touraine and Thomas Gerds and Pierre Joly: SmoothHazard: An R Package for Fitting Regression Models to Interval-Censored Observations of Illness-Death Models (2017)
- Commenges, Daniel; Jacqmin-Gadda, Hélène: Dynamical biostatistical models (2016)