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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

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