Data Science, Analytics, Causal Inference, Towards Data Science.
a suggestive comparison. 1. First, confirm that the underlying data is in fact observational i.e., did the subjects self-select or end up in the groups in some non-random manner? If the data is experimental, you don’t need this checklist :-) 2. Think of potential confounders that influence both (a)