In ten years I never thought of this before We have cases which is the central element of our analysis. Some, I don't know what percent, go through part of the process and then return as a second (or third or fourth etc) case. I am not sure what the ramifications are of analyzing such repeat cases in regression models, when we analyze we just analyze all cases. Note this is not an issue of effect size or p values or standard errors. We have the entire population. I think its an issue of statistical independence although I am unsure if that applies.

One author noted this, although I am not sure how one does so in practice

"Dean et al (2015) found significantly different service impacts for individuals with prior case(s) versus those for whom the case was their first. Thus, this heterogeneity must be accounted for when including both in a single analysis."

One author noted this, although I am not sure how one does so in practice

"Dean et al (2015) found significantly different service impacts for individuals with prior case(s) versus those for whom the case was their first. Thus, this heterogeneity must be accounted for when including both in a single analysis."

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