Statistical Methods for Survival Data with Dependent Censoring

Several statistical methods for analyzing survival data under various forms of dependent censoring are implemented in the package. In addition to accounting for dependent censoring, it offers tools to adjust for unmeasured confounding factors. The implemented approaches allow users to estimate the dependency between survival time and dependent censoring time, based solely on observed survival data. For more details on the methods, refer to Deresa and Van Keilegom (2021) , Czado and Van Keilegom (2023) , Crommen et al. (2024) , Deresa and Van Keilegom (2024) , Willems et al. (2025) , Ding and Van Keilegom (2025) and D'Haen et al. (2025) .


Reference manual

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install.packages("depCensoring")

0.1.11 by Negera Wakgari Deresa, 7 days ago


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


Authors: Ilias Willems [aut] , Gilles Crommen [aut] , Negera Wakgari Deresa [aut, cre] (ORCID: , Jie Ding [aut] , Claudia Czado [aut] , Myrthe D'Haen [aut] , Ingrid Van Keilegom [aut] (ORCID:


Documentation:   PDF Manual  


GPL-3 license


Imports survival, foreach, parallel, doParallel, pbivnorm, stats, MASS, nleqslv, methods, Matrix, EnvStats, mvtnorm, rvinecopulib, nloptr, numDeriv, copula, R6, lubridate, splines2

Suggests testthat, rkriging, orthopolynom, OpenMx, stringr, LaplacesDemon, matrixcalc


See at CRAN