win_prob

Calculates the probability of winning (winP). In the referenced
article Zou et al (2022) proposes a method for calculating probability of
winning with a confidence interval an p-value testing.

This is an R-toolbox of custom functions for convenient data management
and analysis in clinical health research and teaching.
The package is mainly collected for personal use, but any use beyond that is encouraged.
This package has migrated functions from 'agdamsbo/daDoctoR', and new functions has been added.
Version follows months and year. See NEWS/Changelog for release notes.
This package includes sampled data from the TALOS trial (Kraglund et al (2018) <doi:10.1161/STROKEAHA.117.020067>).
The win_prob() function is based on work by Zou et al (2022) <doi:10.1161/STROKEAHA.121.037744>.
The age_calc() function is based on work by Becker (2020) <doi:10.18637/jss.v093.i02>.

Andreas Gammelgaard Damsbo

stRoke

Clinical Stroke Research

win_prob function

<dl><dt>data</dt>
<dd>A data frame containing the response and group variable.</dd>
<dt>response</dt>
<dd>The name of the response variable.
Takes first column if empty.</dd>
<dt>group</dt>
<dd>The name of the group variable.
Takes second column if empty.</dd>
<dt>alpha</dt>
<dd>The alpha level for the hypothesis test. Default is 0.05.</dd>
<dt>beta</dt>
<dd>The beta level for the sample size calculation. Default is 0.2.</dd>
<dt>group.ratio</dt>
<dd>The ratio of group sizes. Default is 1.</dd>
<dt>sample.size</dt>
<dd>Flag to include sample size calculation. Default is FALSE.</dd>
<dt>print.tables</dt>
<dd>Flag to print cumulative tables. Default is FALSE.</dd>
<dt>dec</dt>
<dd>Numeric for decimals to print. Default is 3.</dd></dl>

Arguments

Calculates the probability of winning — win_prob

<dl>

<dt>data</dt>
<dd>A data frame containing the response and group variable.</dd>


<dt>response</dt>
<dd>The name of the response variable.
Takes first column if empty.</dd>


<dt>group</dt>
<dd>The name of the group variable.
Takes second column if empty.</dd>


<dt>alpha</dt>
<dd>The alpha level for the hypothesis test. Default is 0.05.</dd>


<dt>beta</dt>
<dd>The beta level for the sample size calculation. Default is 0.2.</dd>


<dt>group.ratio</dt>
<dd>The ratio of group sizes. Default is 1.</dd>


<dt>sample.size</dt>
<dd>Flag to include sample size calculation. Default is FALSE.</dd>


<dt>print.tables</dt>
<dd>Flag to print cumulative tables. Default is FALSE.</dd>


<dt>dec</dt>
<dd>Numeric for decimals to print. Default is 3.</dd>

</dl>

win_prob: Calculates the probability of winning

Description

Usage

Value

Arguments

Examples