2019 // survidm: Inference and Prediction in an Illness-Death Model


Authors: Luis Meira-Machado, Marta Sestelo and Gustavo Soutinho


Newly developed methods for the estimation of several probabilities in an illness-death model. The package can be used to obtain nonparametric and semiparametric estimates for: transition probabilities, occupation probabilities, cumulative incidence function and the sojourn time distributions. Additionally, it is possible to fit proportional hazards regression models in each transition of the Illness-Death Model. Several auxiliary functions are also provided which can be used for marginal estimation of the survival functions.

R Package – Version 1.2.0

Published: 2019-01-07

Link: https://cran.r-project.org/web/packages/survidm/index.html

Link: https://github.com/sestelo/survidm