Data Science, Statistics, Analytics, Experiment, Causality.
they stood still without having just ran — a carryover effect. A and B are not related to dropout. If you administer B then A, and B causes some subjects to never receive A, then estimates are incorrect. Due to these restrictions, crossovers are typically used on products rather than people.