4 papers
Expert-Guided g-computation with Large Language Models for Estimating Causal Effects on Timings: Applications to Hospital Quality Improvement
Patrick Vossler, Jialin Ouyang, F. Richard Guo +5
Hospital quality improvement (QI) programs routinely face multiple candidate interventions to optimize hospital flow, but existing methods struggle to estimate and rank the causal…
The Debiased Score Test: Hunt-and-test for Semiparametric Hypotheses
Aditya Dhawan, F. Richard Guo, Rajen D. Shah
The parametric score test assesses a hypothesis through derivatives of the log-likelihood, whose expectation vanishes under the null. When the parameter of interest is a regression…
Minimal enumeration of all possible total effects in a Markov equivalence class
F. Richard Guo, Emilija Perković
In observational studies, when a total causal effect of interest is not identified, the set of all possible effects can be reported instead. This typically occurs when the underlyi…
On Testing Marginal versus Conditional Independence
F. Richard Guo, Thomas S. Richardson
We consider testing marginal independence versus conditional independence in a trivariate Gaussian setting. The two models are non-nested and their intersection is a union of two m…