Tag: regression
All the articles with the tag "regression".
-
The Illusion of Significance: Why p-value Variable Selection Breaks Marketing Mix Models
Stepwise regression produces overconfident models with biased estimates — here's why that matters for MMM, and how Bayesian shrinkage priors fix the problem without breaking your causal identification.
-
Noisy Covariates Bias Your Coefficients Toward Zero
When a predictor in your regression is measured with error, its coefficient shrinks toward zero in a predictable, quantifiable way — here's the math and the Bayesian fix.
-
The Table 2 Fallacy: Your Control Variables Aren't What You Think
Controlling for a variable to identify your treatment effect doesn't mean that variable's coefficient is causally interpretable — and confusing the two is surprisingly common.