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I don't have experience in computing risk differences when you have time-to-event-data with right-censoring (i.e. for which you'd otherwise use a Cox model), as well as propensity score adjustment. Especially computing the variance seems tricky. Any suggested reading?
This paper discusses PS adjustment, but appears to assume a fixed time-at-risk without censoring.
On another note, empirical calibration hasn't been tested on risk differences yet.
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