estimate.cf

This function estimates the control function for the endogenous
variable based on the provided covariates. This function is called inside
estimate.cmprsk.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

estimate.cf function

<dl><dt>XandW</dt>
<dd>Design matrix of exogenous covariates.</dd>
<dt>Z</dt>
<dd>Endogenous covariate.</dd>
<dt>Zbin</dt>
<dd>Boolean value indicating whether endogenous covariate is binary.</dd>
<dt>gammaest</dt>
<dd>Vector of pre-estimated parameter vector. If <code>NULL</code>,
this function will first estimate <code>gammaest</code>. Default value is
<code>gammaest = NULL</code>.</dd></dl>

Arguments

Estimate the control function — estimate.cf

<dl>

<dt>XandW</dt>
<dd>Design matrix of exogenous covariates.</dd>


<dt>Z</dt>
<dd>Endogenous covariate.</dd>


<dt>Zbin</dt>
<dd>Boolean value indicating whether endogenous covariate is binary.</dd>


<dt>gammaest</dt>
<dd>Vector of pre-estimated parameter vector. If <code>NULL</code>,
this function will first estimate <code>gammaest</code>. Default value is
<code>gammaest = NULL</code>.</dd>

</dl>

estimate.cf: Estimate the control function

Description

Usage

Value

Arguments