Preprint
Oct 2026
Proximal Causal Inference for Time Series from N-of-1Mobile Device Data
Unmeasured confounding challenges causal inference in intensive longitudinal studies, potentially biasing treatment effect estimates. The proximal causal inference (PCI) framework offers a promising approach to identification using proxies or negative control variables in the presence of hidden confounding bias. While...
Fan-Yu Cui, Charlotte R. Fowler, Xiao-Xuan Cai et al.
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