A Meta-Learning Method for Estimation of Causal Excursion Effects to Assess Time-Varying Moderation

arXiv:2306.16297v2 Announce Type: replace-cross
Abstract: Twin revolutions in wearable technologies and health interventions delivered by smartphones have greatly increased the accessibility of mobile health (mHealth) interventions. Micro-randomized trials (MRTs) are designed to assess the effectiveness of the mHealth intervention and introduce a novel class of causal estimands called "causal excursion effects." These estimands enable the evaluation of how intervention effects change over time and are influenced by individual characteristics or context. However, existing analysis methods for causal excursion effects require …

abstract accessibility arxiv causal class effects health meta meta-learning micro mobile moderation novel replace revolutions smartphones stat.me stat.ml technologies twin type wearable