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update collapsibility comment (related to #234) #235

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Mar 14, 2024
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update collapsibility comment (related to #234) #235

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2 changes: 1 addition & 1 deletion chapters/06-not-just-a-stats-problem.qmd
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Expand Up @@ -620,7 +620,7 @@ But look again.
`exposure` is a mediator for `covariate`'s effect on `outcome`; some of the total effect is mediated through `outcome`, while there is also a direct effect of `covariate` on `outcome`. **Both estimates are unbiased, but they are different *types* of estimates**. The effect of `exposure` on `outcome` is the *total effect* of that relationship, while the effect of `covariate` on `outcome` is the *direct effect*.

[^06-not-just-a-stats-problem-4]: Additionally, OLS produces a *collapsable* effect.
Other effects, like the odds and hazards ratios, are *non-collapsable*, meaning including unrelated variables in the model *can* change the effect estimate.
Other effects, like the odds and hazards ratios, are *non-collapsable*, meaning you may need to include non-confounding variables in the model that cause the outcome in order to estimate the effect of interest accurately.

```{r}
#| label: fig-quartet_confounder
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