depCensoring: 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) <doi:10.1093/biomet/asaa095>, Czado and Van Keilegom (2023) <doi:10.1093/biomet/asac067>, Crommen et al. (2024) <doi:10.1007/s11749-023-00903-9>, Deresa and Van Keilegom (2024) <doi:10.1080/01621459.2022.2161387>, Rutten et al. (2024+) <doi:10.48550/arXiv.2403.11860> and Ding and Van Keilegom (2024).

Getting started

Package details

AuthorIlias Willems [aut] (<https://orcid.org/0009-0001-9463-9942>), Gilles Crommen [aut] (<https://orcid.org/0000-0001-8380-1900>), Negera Wakgari Deresa [aut, cre] (<https://orcid.org/0000-0002-1302-3725>), Jie Ding [aut] (<https://orcid.org/0000-0002-6083-7529>), Claudia Czado [aut] (<https://orcid.org/0000-0002-6329-5438>), Ingrid Van Keilegom [aut] (<https://orcid.org/0000-0001-8827-7642>)
MaintainerNegera Wakgari Deresa <negera.deresa@gmail.com>
LicenseGPL-3
Version0.1.7
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("depCensoring")

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depCensoring documentation built on April 4, 2025, 1:52 a.m.