survidm: Inference and Prediction in an Illness-Death Model

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.

Package details

AuthorLuis Meira-Machado, Marta Sestelo and Gustavo Soutinho
MaintainerMarta Sestelo <>
Package repositoryView on CRAN
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survidm documentation built on June 25, 2021, 1:07 a.m.