hfaction_cpx9

These are data on a subgroup of 426 high-risk non-ischemic patients in the HF-ACTION study.

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

hfaction_cpx9 function

A data frame with 1,448 rows and 5 variables:<dl class="dl-horizontal">
 <dt>patid</dt><dd>patient ID</dd>
 <dt>time</dt><dd>event times (months)</dd>
 <dt>status</dt><dd>event status; 0:censoring, 1:death, 2:hospitalization</dd>
 <dt>trt_ab</dt><dd>treatment indicator: 1: exercise training, 0: usual care</dd>
 <dt>age60</dt><dd>1: 60 years or older, 0: less than 60 years old</dd>
 </dl>

Format

A subset of the HF-ACTION study data on high-risk non-ischemic heart failure patients — hfaction_cpx9

A data frame with 1,448 rows and 5 variables:<dl class='dl-horizontal'>
 <dt>patid</dt><dd>patient ID</dd>
 <dt>time</dt><dd>event times (months)</dd>
 <dt>status</dt><dd>event status; 0:censoring, 1:death, 2:hospitalization</dd>
 <dt>trt_ab</dt><dd>treatment indicator: 1: exercise training, 0: usual care</dd>
 <dt>age60</dt><dd>1: 60 years or older, 0: less than 60 years old</dd>
 </dl>

hfaction_cpx9: A subset of the HF-ACTION study data on high-risk non-ischemic heart failure patients

Description

Usage

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Format

References