gastric

A data set of survival times of patients with locally advanced, nonresectable gastric
 carcinoma. The patients were either treated with chemotherapy plus radiation or
 chemotherapy alone.

datasets

Implements weighted estimation in Cox regression as proposed by
Schemper, Wakounig and Heinze (Statistics in Medicine, 2009,
<doi:10.1002/sim.3623>) and as described in Dunkler, Ploner, Schemper and
Heinze (Journal of Statistical Software, 2018, <doi:10.18637/jss.v084.i02>).
Weighted Cox regression provides unbiased average hazard ratio
estimates also in case of non-proportional hazards.
Approximated generalized concordance probability an effect size measure for clear-cut
decisions can be obtained.
The package provides options to estimate time-dependent effects conveniently by
including interactions of covariates with arbitrary functions of time, with or without
making use of the weighting option.

Daniela Dunkler

coxphw

Weighted Estimation in Cox Regression

Georg Heinze

Meinhard Ploner

gastric function

A data frame with 90 observations on the following 4 variables:<dl>
 <dt><code>id</code></dt>
<dd>unique patient id.</dd> <dt><code>radiation</code></dt>
<dd>treatment of either 0 = chemotherapy alone or 1 = chemotherapy plus radiation.</dd> <dt><code>time</code></dt>
<dd>survival time in days.</dd> <dt><code>status</code></dt>
<dd>0 = censored or 1 = death.</dd> 
</dl>

Format

Gastric Cancer Data — gastric

A data frame with 90 observations on the following 4 variables:<dl>
 <dt><code>id</code></dt>
<dd>unique patient id.</dd>

 <dt><code>radiation</code></dt>
<dd>treatment of either 0 = chemotherapy alone or 1 = chemotherapy plus radiation.</dd>

 <dt><code>time</code></dt>
<dd>survival time in days.</dd>

 <dt><code>status</code></dt>
<dd>0 = censored or 1 = death.</dd>

 
</dl>

gastric: Gastric Cancer Data

Description

Usage

Arguments

Format

References

Examples