Justin T. Baker

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...