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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<br />

Determ<strong>in</strong>ation of <strong><strong>in</strong>teraction</strong><br />

Difference from <strong>mediation</strong> <strong>and</strong> confound<strong>in</strong>g<br />

An example about the philosophy<br />

For example, imag<strong>in</strong>e a study that tests the effects of a treatment<br />

of an outcome measure. The treatment variable is composed of<br />

two groups, e.g., treatment <strong>and</strong> control. The results are that the<br />

mean of the treatment group is higher than the mean for the<br />

control group. But what if the research is also <strong>in</strong>terested <strong>in</strong><br />

whether the treatment is equally effective for females <strong>and</strong> males.<br />

That is a difference <strong>in</strong> treatment depend<strong>in</strong>g on gender group. This<br />

is a question of <strong><strong>in</strong>teraction</strong>.<br />

logo<br />

William Wu<br />

Cancer Biostatistics

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