Time-varying treatment effect models in stepped-wedge cluster-randomized trials with multiple interventions
多干预阶梯楔形整群随机试验中的时变处理效应模型
The traditional model specification of stepped-wedge cluster-randomized trials assumes a homogeneous treatment effect across time while adjusting for fixed-time effects. However, when treatment effects vary over time, the constant effect estimator may be biased. In the general setting of stepped-wedge cluster-randomized trials with multiple interventions, we derive the expected value of the constant effect estimator when the true treatment effects depend on exposure time…