“…There are several potential sources of bias that researchers should be mindful of when conducting SCCS or SCRI studies, including time‐varying confounders, small sample estimation bias (Musonda et al., ), systematic bias resulting from outcomes that prohibit or precipitate subsequent exposure (Farrington et al., ; Kuhnert et al., ), systematic bias resulting from outcomes that censor subsequent observation (Farrington et al., ), and bias resulting from outcomes that reasonably do not arise according to a non‐homogeneous Poisson process (Simpson, ), which includes common unique outcomes. Outcomes that potentially censor the observation period, such as myocardial infarction or stroke that carry high mortality risk, have not been mentioned in the present paper, but similar to bias relating to unique common outcomes, the magnitude and direction of bias depends on the distribution of exposure risk windows over observation periods.…”