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pair matching vs. block stratification

Sampling weights matter for RCT design?

Berk Ozler's picture

One of the most important things while designing an intervention is to try to ensure that your study will have enough statistical power to test the hypotheses you're interested in. Picking a large enough sample is one of a variety of things to increase power. Another is block stratified randomization, of which paired randomization is the extreme.