get.anchor.points

The points returned by this function can be used as corner
points in the family of box functions, or as knots in the family of B-spline
functions.

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.anchor.points function

<dl><dt>data</dt>
<dd>Data set.</dd>
<dt>n.if.per.cov</dt>
<dd>Number of instrumental functions to use per continuous
covariate.</dd>
<dt>normalized</dt>
<dd>Boolean value indicating whether the covariates in the
given data frame have been normalized. Default is <code>normalized = FALSE</code>.</dd></dl>

Arguments

Get anchor points on which to base the instrumental functions — get.anchor.points

<dl>

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


<dt>n.if.per.cov</dt>
<dd>Number of instrumental functions to use per continuous
covariate.</dd>


<dt>normalized</dt>
<dd>Boolean value indicating whether the covariates in the
given data frame have been normalized. Default is <code>normalized = FALSE</code>.</dd>

</dl>

get.anchor.points: Get anchor points on which to base the instrumental functions

Description

Usage

Arguments