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Results tagged with confounding
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user 40242
In statistical models, confounding is said to occur when the apparent dependence of the response on a predictor is partially or wholly due to the dependence of both on a third variable not included in the model, or dependence on a linear combination of other variables included in the model. Confounding with a variable included in a model is often called multicollinearity. A synonym is *aliasing*, used in design of experiments.
7
votes
Is it possible to have a variable that acts as both an effect modifier and a confounder?
However, when we run the regression of $y$ on $x$ only, we also see the confounding kicking in:
lm(y ~ x)
Coefficients:
(Intercept) x
-0.258 4.856
Finally, as pointed out …
- 2,395
2
votes
Identifying a confounder
Section 6.2 of that book is called "Why There Is No Statistical Test For Confounding", which is exactly true. … One needs to either randomize or make substantive assumptions about causal mechanisms in order to rule out confounding. …
- 2,395
3
votes
Accepted
Are there any circumstances where adjusting for path variables / mediators is useful?
Your intuition is correct, although of course in reality, things are a bit more complex.
Suppose you think the causal graph looks like this:
Then you can estimate the average causal effect of $D$ o …
- 2,395