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Often abbreviated DID or DD, this is a technique for inferring causality from observational data. It involves comparing measurements before and after a treatment occurs (hence, the growth rate) in both a group that received the treatment, and an otherwise comparable group that did not.

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Percentage increase for Treatment/Control in a cohort education study

I have some Baseline and Midline results in a treatment/control study. In trying to calculate effect size for the treatment group, I'm using a Cohen's d calculation which allows for the discount in th …
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