3 papers
stat.ME2026
Causal inference via propensity scores for case-control studies
Yan Liu, Anita Koushik, Philippe Boileau +5
Propensity score methods for causal inference are increasingly being used in cohort and experimental designs, but their development and uptake in outcome-dependent sampling schemes…
stat.ME2026
Identifying and Estimating Causal Direct Effects Under Unmeasured Confounding
Philippe Boileau, Nima S. Hejazi, Ivana Malenica +3
Causal mediation analysis provides techniques for defining and estimating effects that may be endowed with mechanistic interpretations. With many scientific investigations seeking…
stat.ME2025
Assumption-Lean Differential Variance Inference for Heterogeneous Treatment Effect Detection
Philippe A. Boileau, Hani Zaki, Gabriele Lileikyte +3
The conditional average treatment effect (CATE) is frequently estimated in clinical studies to refute a homogeneous treatment effect hypothesis. Under this regime, all patients mak…