wunder beta🔎 Confounding: When a Third Variable Distorts an Association
Learn to spot confounding, test a third factor with stratified comparisons, and match causal language to the evidence.
What you’ll learn
- Spot the patternDistinguish an observed association from a causal explanation and identify a plausible confounder.A third factor can be associated with both variables without being a consequence of the exposure, making a simple pattern misleading.
- Test the third factorUse stratified comparisons and study-design limits to write a proportionate conclusion.Stratification and adjustment can reduce measured confounding, but the evidence still has assumptions and limits.
Questions this course answers
What makes a variable a confounder?
A confounder is associated with the exposure and with the outcome independently of that exposure, and is not a consequence of it.
What should you ask about a candidate third factor?
Those checks distinguish a plausible confounder from an arbitrary third variable.
Why compare groups within levels of a confounder?
Stratified comparisons can show whether a third factor helps explain or changes the overall association.
Which conclusion is most careful?
Adjustment can reduce measured confounding, but causal language still requires an appropriate design and assumptions.
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