gehan_estimation

This function performs Gehan's estimation of regression parameters proposed by Jin

Implements several basic algorithms for estimating regression parameters for semiparametric accelerated failure time (AFT) model. The main methods are: Jin rank-based method (Jin (2003) <doi:10.1093/biomet/90.2.341>), Heller’s estimating method (Heller (2012) <doi:10.1198/016214506000001257>), Polynomial smoothed Gehan function method (Chung (2013) <doi:10.1007/s11222-012-9333-9>), Buckley-James method (Buckley (1979) <doi:10.2307/2335161>) and Jin`s improved least squares method (Jin (2006) <doi:10.1093/biomet/93.1.147>). This package can be used for modeling right-censored data and for comparing different estimation algorithms.

Martin Benedikt

aftsem

Semiparametric Accelerated Failure Time Model

gehan_estimation function

<dl><dt>y</dt>
<dd>A numeric vector of survival times.</dd>
<dt>Z</dt>
<dd>A matrix of covariates</dd>
<dt>delta</dt>
<dd>A numeric vector indicating censoring status</dd>
<dt>rsmat</dt>
<dd>A resampling matrix</dd>
<dt>m</dt>
<dd>Method for quantreg optimalization</dd>
<dt>init</dt>
<dd>A logical value indicating whether to return the initial fit object
(default is `FALSE`). If `FALSE`, only the coefficients are returned.</dd></dl>

Arguments

Author

Gehan's Estimation for Survival Data — gehan_estimation

<dl>

<dt>y</dt>
<dd>A numeric vector of survival times.</dd>


<dt>Z</dt>
<dd>A matrix of covariates</dd>


<dt>delta</dt>
<dd>A numeric vector indicating censoring status</dd>


<dt>rsmat</dt>
<dd>A resampling matrix</dd>


<dt>m</dt>
<dd>Method for quantreg optimalization</dd>


<dt>init</dt>
<dd>A logical value indicating whether to return the initial fit object
(default is `FALSE`). If `FALSE`, only the coefficients are returned.</dd>

</dl>

gehan_estimation: Gehan's Estimation for Survival Data

Description

Usage

Value

Arguments

Author