10 citations · 34 across the 21 of their papers we have counts for
5 papers · 1 filter
Dynamic Survival Transformers for Causal Inference with Electronic Health Records
Prayag Chatha, Yixin Wang, Zhenke Wu +1
In medicine, researchers often seek to infer the effects of a given treatment on patients' outcomes. However, the standard methods for causal survival analysis make simplistic assu…
Outcome Adaptive Propensity Score Methods for Handling Censoring and High-Dimensionality: Application to Insurance Claims
Youfei Yu, Jiacong Du, Min Zhang +3
Propensity scores are commonly used to reduce the confounding bias in non-randomized observational studies for estimating the average treatment effect. An important assumption unde…
Variance as a predictor of health outcomes: Subject-level trajectories and variability of sex hormones to predict body fat changes in peri- and post-menopausal women
Irena Chen, Zhenke Wu, Siobán D. Harlow +3
Longitudinal biomarker data and cross-sectional outcomes are routinely collected in modern epidemiology studies, often with the goal of informing tailored early intervention decisi…
baker: An R package for Nested Partially-Latent Class Models
Irena B Chen, Qiyuan Shi, Scott L Zeger +1
This paper describes and illustrates the functionality of the baker R package. The package estimates a suite of nested partially-latent class models (NPLCM) for multivariate binary…
Probabilistic Learning of Treatment Trees in Cancer
Tsung-Hung Yao, Zhenke Wu, Karthik Bharath +2
Accurate identification of synergistic treatment combinations and their underlying biological mechanisms is critical across many disease domains, especially cancer. In translationa…