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stat.ME2024
Data-Adaptive Identification of Effect Modifiers through Stochastic Shift Interventions and Cross-Validated Targeted Learning
David McCoy, Wenxin Zhang, Alan Hubbard +2
In epidemiology, identifying subpopulations that are particularly vulnerable to exposures and those who may benefit differently from exposure-reducing interventions is essential. F…
stat.ME2024★ 1 cited
Bridging Binarization: Causal Inference with Dichotomized Continuous Exposures
Kaitlyn J. Lee, Alan Hubbard, Alejandro Schuler
The average treatment effect (ATE) is a common parameter estimated in causal inference literature, but it is only defined for binary exposures. Thus, despite concerns raised by som…