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study design
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Regression to the mean vs the gambler's fallacy: what is the difference?
Why expecting an extreme score to be followed by a more ordinary one is sound, while expecting a streak to be balanced out is a fallacy.
Read the answer →Paired vs independent t test: which should you use?
How to tell whether your data are paired, why pairing can turn a hopeless comparison into a clear one, and what goes wrong when you pick the wrong test.
Read the answer →Interrupted time series vs event study vs difference-in-differences
All three estimate the effect of an intervention, but each builds its counterfactual differently. Here is how to tell them apart.
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