Agreed with you, George. Lots of common threads.
Also agree with this.
With regards with what to characterize, there are certainly hypothesis that require characterizing the baseline of more than conditions.
Yes, but it’s study-specific. For example, I’m working on a study evaluating incidence of persistent opioid use following specific procedures (total hip, knee and shoulder arthroplasty) in opioid naïve individuals. In that study, we’re making a Table 1 that summarizes the surgery type across our initial cohorts of interest. We also are interested in summarizing specific types of prior drug exposures.
Rather than boil the ocean, the current FeatureExtraction way of choosing from the domains of interest and then producing covariates is actually quite handy. There’s lots of reasons you may want to summarize prior other things besides conditions (e.g. prior drugs, prior labs, baseline demographics, comorbidity indices, prior procedures, etc).
@Daniel_Prieto, maybe we should show @Christian_Reich Marti’s package?
(I can’t seem to find him to tag him on this forum post.)