summary.depFit

Summary of <code>depCensoringFit</code> object

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>, Willems et al. (2025)
<doi:10.48550/arXiv.2403.11860>, Ding and Van Keilegom (2025) and D'Haen et al. (2025)
<doi:10.1007/s10985-025-09647-0>.

Negera Wakgari Deresa

depCensoring

Statistical Methods for Survival Data with Dependent Censoring

Ilias Willems

Gilles Crommen

Jie Ding

Claudia Czado

Myrthe D'Haen

Ingrid Van Keilegom

summary.depFit function

<dl><dt>object</dt>
<dd>Output of <code>fitDepCens</code> function</dd>
<dt>...</dt>
<dd>Further arguments</dd></dl>

Arguments

Summary of depCensoringFit object — summary.depFit

<dl>

<dt>object</dt>
<dd>Output of <code>fitDepCens</code> function</dd>


<dt>...</dt>
<dd>Further arguments</dd>

</dl>

summary.depFit: Summary of `depCensoringFit` object

Description

Usage

Value

Arguments