Confounding, interaction, and mediation in multivariable/multivariate ...
Confounding, interaction, and mediation in multivariable/multivariate ...
Confounding, interaction, and mediation in multivariable/multivariate ...
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Mediation<br />
<strong>Confound<strong>in</strong>g</strong><br />
Interaction<br />
Def<strong>in</strong>ition <strong>and</strong> determ<strong>in</strong>ation<br />
Methods for confound<strong>in</strong>g effect<br />
Unobserved confound<strong>in</strong>g<br />
Difference from <strong>mediation</strong><br />
<strong>Confound<strong>in</strong>g</strong> is different from <strong>mediation</strong> <strong>in</strong>:<br />
ˆ Temorality (Exposure occurs first <strong>and</strong> then M <strong>and</strong> outcome,<br />
<strong>and</strong> conceptually follows an experimental design)<br />
ˆ Directionality<br />
ˆ Causality<br />
ˆ Confounders often demographic variables that typically cannot<br />
be changed <strong>in</strong> an experimental design. Mediators are by<br />
def<strong>in</strong>ition cable of be<strong>in</strong>g changed <strong>and</strong> are often selected based<br />
on malleability.<br />
ˆ statistical test<br />
logo<br />
William Wu<br />
Cancer Biostatistics