summaryWO.data.frame

Simulate and analyze hierarchical composite endpoints. Win odds is the main analysis method, but other win statistics (win ratio, net benefit) are also implemented, provided there is no censoring. See Gasparyan SB et al (2023) "Hierarchical Composite Endpoints in COVID-19: The DARE-19 Trial." Case Studies in Innovative Clinical Trials, 95-148. Chapman; Hall/CRC. <doi:10.1201/9781003288640-7>.

Samvel B. Gasparyan

Design and Analysis of Hierarchical Composite Endpoints

summaryWO.data.frame function

<dl><dt>x</dt>
<dd>a data frame containing subject-level data.</dd>
<dt>AVAL</dt>
<dd>variable in the data with ordinal analysis values.</dd>
<dt>TRTP</dt>
<dd>the treatment variable in the data.</dd>
<dt>ref</dt>
<dd>the reference treatment group.</dd>
<dt>GROUP</dt>
<dd>an optional variable for grouping.</dd>
<dt>...</dt>
<dd>additional parameters.</dd></dl>

Arguments

Win odds summary for a data frame — summaryWO.data.frame

<dl>

<dt>x</dt>
<dd>a data frame containing subject-level data.</dd>


<dt>AVAL</dt>
<dd>variable in the data with ordinal analysis values.</dd>


<dt>TRTP</dt>
<dd>the treatment variable in the data.</dd>


<dt>ref</dt>
<dd>the reference treatment group.</dd>


<dt>GROUP</dt>
<dd>an optional variable for grouping.</dd>


<dt>...</dt>
<dd>additional parameters.</dd>

</dl>

summaryWO.data.frame: Win odds summary for a data frame

Description

Usage

Value

Arguments

See Also

Examples