Incorporating nonparametric methods for estimating causal excursion effects in mobile health with zero-inflated count outcomes
移动健康零膨胀计数结果的因果偏离效应:非参数估计方法
In mobile health, tailoring interventions for real-time delivery is of paramount importance. Micro-randomized trials have emerged as the "gold-standard" methodology for developing such interventions. Analyzing data from these trials provides insights into the efficacy of interventions and the potential moderation by specific covariates. The "causal excursion effect", a novel class of causal estimand, addresses these inquiries. Yet, existing research mainly focuses on…