93 citations · 248 across the 30 of their papers we have counts for
6 papers · 1 filter
Flexible Inference of Optimal Individualized Treatment Strategy in Covariate Adjusted Randomization with Multiple Covariates
Trinetri Ghosh, Yanyuan Ma, Rui Song +1
To maximize clinical benefit, clinicians routinely tailor treatment to the individual characteristics of each patient, where individualized treatment rules are needed and are of si…
Semi-supervised Approach to Event Time Annotation Using Longitudinal Electronic Health Records
Liang Liang, Jue Hou, Hajime Uno +3
Large clinical datasets derived from insurance claims and electronic health record (EHR) systems are valuable sources for precision medicine research. These datasets can be used to…
Learning non-monotone optimal individualized treatment regimes
Trinetri Ghosh, Yanyuan Ma, Wensheng Zhu +1
We propose a new modeling and estimation approach to select the optimal treatment regime from different options through constructing a robust estimating equation. The method is pro…
Avoid Estimating the Unknown Function in a Semiparametric Nonignorable Propensity Model
Samidha Shetty, Yanyuan Ma, Jiwei Zhao
We study the problem of estimating a functional or a parameter in the context where outcome is subject to nonignorable missingness. We completely avoid modeling the regression rela…
Covariate balancing for causal inference on categorical and continuous treatments
Seong-ho Lee, Yanyuan Ma, Xavier de Luna
We propose novel estimators for categorical and continuous treatments by using an optimal covariate balancing strategy for inverse probability weighting. The resulting estimators a…
Efficient computational algorithms for approximate optimal designs
Jiangtao Duan, Wei Gao, Yanyuan Ma +1
In this paper, we propose two simple yet efficient computational algorithms to obtain approximate optimal designs for multi-dimensional linear regression on a large variety of desi…