augment.coxphf

Implements Firth's penalized maximum likelihood bias reduction method  for Cox regression
which has been shown to provide a solution in case of monotone likelihood (nonconvergence of likelihood function), see
Heinze and Schemper (2001) and Heinze and Dunkler (2008).
The program fits profile penalized likelihood confidence intervals which were proved to outperform
Wald confidence intervals.

Georg Heinze

coxphf

Cox Regression with Firth's Penalized Likelihood

Meinhard Ploner

Lena Jiricka

Gregor Steiner

augment.coxphf function

<dl><dt>x</dt>
<dd>A `coxphf` object.</dd>
<dt>data</dt>
<dd>the dataset used to fit the model.</dd>
<dt>...</dt>
<dd>Unused, included for generic consistency only.</dd></dl>

Arguments

Augment a coxphf object — augment.coxphf

<dl>

<dt>x</dt>
<dd>A `coxphf` object.</dd>


<dt>data</dt>
<dd>the dataset used to fit the model.</dd>


<dt>...</dt>
<dd>Unused, included for generic consistency only.</dd>

</dl>

augment.coxphf: Augment a coxphf object

Description

Usage

Value

Arguments