get.deriv.mom.func

This function evaluates the derivatives of the conditional
moment function at each observation. Used in get.dmi.tens.R

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).

Negera Wakgari Deresa

depCensoring

Statistical Methods for Survival Data with Dependent Censoring

Ilias Willems

Gilles Crommen

Jie Ding

Claudia Czado

Ingrid Van Keilegom

get.deriv.mom.func function

<dl><dt>data</dt>
<dd>Data frame.</dd>
<dt>beta</dt>
<dd>Parameter vector.</dd>
<dt>t</dt>
<dd>Time point of interest.</dd>
<dt>hp</dt>
<dd>List of hyperparameters.</dd></dl>

Arguments

Matrix of derivatives of conditional moment functions — get.deriv.mom.func

<dl>

<dt>data</dt>
<dd>Data frame.</dd>


<dt>beta</dt>
<dd>Parameter vector.</dd>


<dt>t</dt>
<dd>Time point of interest.</dd>


<dt>hp</dt>
<dd>List of hyperparameters.</dd>

</dl>

get.deriv.mom.func: Matrix of derivatives of conditional moment functions

Description

Usage

Arguments