Author

Fan-Yu Cui

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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. · 0 citations

Preprint Oct 2026

What Should We Measure Next? Finding Identification Strategies by Refining Mechanisms

Canonical approaches in causal inference treat model specification as fixed, assuming that researchers directly translate all relevant domain knowledge into a causal model, which can then be used to deduce its logical implications. Yet, in practical applications, model specification is often an iterative process, and i...

Mikko Väänänen, Fan-Yu Cui, Carlos Cinelli et al. · 0 citations