These are a subset of the German Breast Cancer study data.

datasets

Implements various win ratio methodologies for composite endpoints of death and
non-fatal events, including the (stratified) proportional win-fractions (PW) regression models
(Mao and Wang, 2020 <doi:10.1111/biom.13382>), (stratified) two-sample tests with possibly
recurrent nonfatal event, and sample size calculation for standard win ratio test (Mao et al.,
2021 <doi:10.1111/biom.13501>).

Lu Mao

Win Ratio Analysis of Composite Time-to-Event Outcomes

gbc function

A data frame with 985 rows and 12 variables:<dl class="dl-horizontal">
 <dt>id</dt><dd>subject IDs</dd>
 <dt>time</dt><dd>event times (months)</dd>
 <dt>status</dt><dd>event status; 0:censoring, 1:death, 2:cancer recurrence</dd>
 <dt>hormone</dt><dd>treatment indicator: 1=Hormone therapy; 2=standard therapy</dd>
 <dt>age</dt><dd>age at diagnosis (years)</dd>
 <dt>menopause</dt><dd>menopausal Status; 1=No; 2=Yes</dd>
 <dt>size</dt><dd>tumor size</dd>
 <dt>grade</dt><dd>tumor grade, 1-3</dd>
 <dt>nodes</dt><dd>number of nodes involved</dd>
 <dt>prog_recp</dt><dd>number of progesterone receptors</dd>
 <dt>estrg_recp</dt><dd>number of estrogen receptors</dd>
 </dl>

Format

A subset of the German Breast Cancer study data — gbc

A data frame with 985 rows and 12 variables:<dl class='dl-horizontal'>
 <dt>id</dt><dd>subject IDs</dd>
 <dt>time</dt><dd>event times (months)</dd>
 <dt>status</dt><dd>event status; 0:censoring, 1:death, 2:cancer recurrence</dd>
 <dt>hormone</dt><dd>treatment indicator: 1=Hormone therapy; 2=standard therapy</dd>
 <dt>age</dt><dd>age at diagnosis (years)</dd>
 <dt>menopause</dt><dd>menopausal Status; 1=No; 2=Yes</dd>
 <dt>size</dt><dd>tumor size</dd>
 <dt>grade</dt><dd>tumor grade, 1-3</dd>
 <dt>nodes</dt><dd>number of nodes involved</dd>
 <dt>prog_recp</dt><dd>number of progesterone receptors</dd>
 <dt>estrg_recp</dt><dd>number of estrogen receptors</dd>
 </dl>

gbc: A subset of the German Breast Cancer study data

Description

Usage

Arguments

Format

References