power_transform

Computes a given power of a number.

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

power_transform function

<dl><dt>y</dt>
<dd>The number which one wants to raise to a certain power <code>pw</code>.</dd>
<dt>pw</dt>
<dd>The power to which to raise <code>y</code>.</dd></dl>

Arguments

Power transformation function. — power_transform

<dl>

<dt>y</dt>
<dd>The number which one wants to raise to a certain power <code>pw</code>.</dd>


<dt>pw</dt>
<dd>The power to which to raise <code>y</code>.</dd>

</dl>

power_transform: Power transformation function.

Description

Usage

Value

Arguments