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<main id="main" class="col-md-9"><div class="page-header">
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<img src="../logo.png" class="logo" alt=""><h1>Calculates the probability of winning</h1>
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<small class="dont-index">Source: <a href="https://github.com/agdamsbo/stRoke/blob/HEAD/R/win_prob.R" class="external-link"><code>R/win_prob.R</code></a></small>
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<div class="d-none name"><code>win_prob.Rd</code></div>
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</div>
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<div class="ref-description section level2">
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<p>Calculates the probability of winning (winP). In the referenced
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article Zou et al (2022) proposes a method for calculating probability of
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winning with a confidence interval an p-value testing.</p>
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</div>
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<div class="section level2">
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<h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage"></a></h2>
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<div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">win_prob</span><span class="op">(</span></span>
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<span> <span class="va">data</span>,</span>
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<span> response <span class="op">=</span> <span class="cn">NULL</span>,</span>
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<span> group <span class="op">=</span> <span class="cn">NULL</span>,</span>
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<span> alpha <span class="op">=</span> <span class="fl">0.05</span>,</span>
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<span> beta <span class="op">=</span> <span class="fl">0.2</span>,</span>
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<span> group.ratio <span class="op">=</span> <span class="fl">1</span>,</span>
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<span> sample.size <span class="op">=</span> <span class="cn">FALSE</span>,</span>
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<span> print.tables <span class="op">=</span> <span class="cn">FALSE</span>,</span>
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<span> dec <span class="op">=</span> <span class="fl">3</span></span>
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<span><span class="op">)</span></span></code></pre></div>
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</div>
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<div class="section level2">
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<h2 id="source">Source<a class="anchor" aria-label="anchor" href="#source"></a></h2>
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<p><a href="https://doi.org/10.1161/STROKEAHA.121.037744" class="external-link">doi:10.1161/STROKEAHA.121.037744</a></p>
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</div>
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<div class="section level2">
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<h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
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<dl><dt>data</dt>
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<dd><p>A data frame containing the response and group variable.</p></dd>
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<dt>response</dt>
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<dd><p>The name of the response variable.
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Takes first column if empty.</p></dd>
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<dt>group</dt>
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<dd><p>The name of the group variable.
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Takes second column if empty.</p></dd>
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<dt>alpha</dt>
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<dd><p>The alpha level for the hypothesis test. Default is 0.05.</p></dd>
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<dt>beta</dt>
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<dd><p>The beta level for the sample size calculation. Default is 0.2.</p></dd>
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<dt>group.ratio</dt>
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<dd><p>The ratio of group sizes. Default is 1.</p></dd>
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<dt>sample.size</dt>
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<dd><p>Flag to include sample size calculation. Default is FALSE.</p></dd>
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<dt>print.tables</dt>
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<dd><p>Flag to print cumulative tables. Default is FALSE.</p></dd>
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<dt>dec</dt>
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<dd><p>Numeric for decimals to print. Default is 3.</p></dd>
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</dl></div>
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<div class="section level2">
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<h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
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<p>A list containing the win_prob statistics.</p>
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</div>
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<div class="section level2">
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<h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-examples"></a></h2>
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<div class="sourceCode"><pre class="sourceCode r"><code><span class="r-in"><span><span class="fu">win_prob</span><span class="op">(</span>data<span class="op">=</span><span class="fu">stRoke</span><span class="fu">::</span><span class="va"><a href="talos.html">talos</a></span>,response<span class="op">=</span><span class="st">"mrs_6"</span>,group<span class="op">=</span><span class="st">"rtreat"</span><span class="op">)</span></span></span>
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<span class="r-out co"><span class="r-pr">#></span> Zou et al's winP (doi: 10.1161/STROKEAHA.121.037744) </span>
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<span class="r-out co"><span class="r-pr">#></span> </span>
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<span class="r-out co"><span class="r-pr">#></span> Probability of a random observation in Placebo group </span>
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<span class="r-out co"><span class="r-pr">#></span> will have a higher response score than a random</span>
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<span class="r-out co"><span class="r-pr">#></span> observation in Active group:</span>
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<span class="r-out co"><span class="r-pr">#></span> </span>
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<span class="r-out co"><span class="r-pr">#></span> winP: 0.400 (0.612, 0.372) p=0.0125</span>
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<span class="r-out co"><span class="r-pr">#></span> --------------------------------------------</span>
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<span class="r-out co"><span class="r-pr">#></span> </span>
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<span class="r-out co"><span class="r-pr">#></span> The numbers needed to treat (NNT) are: -9</span>
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<span class="r-out co"><span class="r-pr">#></span> </span>
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<span class="r-out co"><span class="r-pr">#></span> </span>
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<span class="r-out co"><span class="r-pr">#></span> </span>
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</code></pre></div>
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