Causal estimands and identification of time-varying effects in non-stationary time series from N-of-1 mobile device data
单人移动设备非平稳时间序列中的时变因果效应:目标量与识别
Mobile technology (mobile phones and wearable devices) generates continuous data streams encompassing outcomes, exposures and covariates, presented as intensive longitudinal or multivariate time series data. The high frequency of measurements enables granular and dynamic evaluation of treatment effect, revealing their persistence and accumulation over time. Existing methods predominantly focus on the contemporaneous effect, temporal-average, or population-average effects,…