Causal Data Science

Randomization Works in Experiments, Even Without Balance

of treatments in experiments has the amazing tendency to balance out confounders and other covariates across testing groups. This tendency provides a variety of favorable features for analyzing the outcomes of experiments and...

Regression Discontinuity Design: How It Works and When to Use It

You’re an avid data scientist and experimenter. You already know that randomisation is the summit of Mount Evidence Credibility, and you furthermore mght know that when you may’t randomise, you resort to observational data...

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