Key points are not available for this paper at this time.
Missing data and unmeasured confounding are key challenges for external comparator studies. This work evaluates bias and other performance characteristics depending on missingness and unmeasured confounding by means of two case studies and simulations.
Rippin et al. (Mon,) studied this question.