3 papers
stat.AP2026
Bayesian Nonparametric Causal Inference for Quantile Residual Life: An Application to Alzheimer's Disease
Woojung Bae, Taekwon Hong, Sang Kyu Lee +2
In Alzheimer's disease research, a clinically important question is how much longer individuals would remain dementia-free beyond a given time under different baseline amyloid stat…
stat.ME2026
A Causal Framework for Quantile Residual Lifetime
Taekwon Hong, Woojung Bae, Sang Kyu Lee +2
Estimating prognosis conditional on surviving an initial high-risk period is crucial in clinical research. Yet, standard metrics such as hazard ratios are often difficult to interp…
stat.ME2024
A pseudo-outcome-based framework to analyze treatment heterogeneity in survival data using electronic health records
Na Bo, Jong-Hyeon Jeong, Erick Forno +1
An important aspect of precision medicine focuses on characterizing diverse responses to treatment due to unique patient characteristics, also known as heterogeneous treatment effe…