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stat.ME2026
Proximal Causal Inference for Time Series from N-of-1Mobile Device Data
Fanyu Cui, Charlotte Fowler, Xiaoxuan Cai +3
Unmeasured confounding challenges causal inference in intensive longitudinal studies, potentially biasing treatment effect estimates. The proximal causal inference (PCI) framework…
stat.ME2025
Missing data in non-stationary multivariate time series from digital studies in Psychiatry
Xiaoxuan Cai, Charlotte R. Fowler, Li Zeng +6
Mobile technology (e.g., mobile phones and wearable devices) provides scalable methods for collecting physiological and behavioral biomarkers in patients' naturalistic settings, as…
stat.ME2024
Causal estimands and identification of time-varying effects in non-stationary time series from N-of-1 mobile device data
Xiaoxuan Cai, Li Zeng, Charlotte Fowler +5
Mobile technology (mobile phones and wearable devices) generates continuous data streams encompassing outcomes, exposures and covariates, presented as intensive longitudinal or mul…