n’s Rules after standardization: Following multiple
imputation, we would fit 100 logistic regression models and for each,
obtain the marginal estimates using beeca. We would then pool these 100
beeca outputs using Rubin’s Rules.</p>
<p>This example exists to compare with the workflow which saves an ADMI
data set, then uses {rbmiUtils} to complete the intended analysis.</p>
<div class="sourceCode" id="cb2"><pre class="downlit sourceCode r">
<code class="sourceCode R"><span><span class="co">## Define glob