31 citations · 143 across the 28 of their papers we have counts for
9 papers · 1 filter
Estimating Pathway Treatment Effects in the Presence of Intermediate Events with Multi-State Data
Yuhao Deng, Haoyu Wei, Donglin Zeng +2
During clinical trials evaluating a drug's effect on a survival endpoint, intermediate events often occur in addition to the primary event. The treatment can exert its effect on th…
Sure Screening for Transelliptical Graphical Models
Yuxiang Xie, Chengchun Shi, Rui Song
We propose a sure screening approach for recovering the structure of a transelliptical graphical model in the high dimensional setting. We estimate the partial correlation graph by…
Jump Interval-Learning for Individualized Decision Making
Hengrui Cai, Chengchun Shi, Rui Song +1
An individualized decision rule (IDR) is a decision function that assigns each individual a given treatment based on his/her observed characteristics. Most of the existing works in…
GEAR: On Optimal Decision Making with Auxiliary Data
Hengrui Cai, Rui Song, Wenbin Lu
Personalized optimal decision making, finding the optimal decision rule (ODR) based on individual characteristics, has attracted increasing attention recently in many fields, such…
Calibrated Optimal Decision Making with Multiple Data Sources and Limited Outcome
Hengrui Cai, Wenbin Lu, Rui Song
We consider the optimal decision-making problem in a primary sample of interest with multiple auxiliary sources available. The outcome of interest is limited in the sense that it i…
Causal Effect Estimation and Optimal Dose Suggestions in Mobile Health
Liangyu Zhu, Wenbin Lu, Rui Song
In this article, we propose novel structural nested models to estimate causal effects of continuous treatments based on mobile health data. To find the treatment regime that optimi…
Kernel Assisted Learning for Personalized Dose Finding
Liangyu Zhu, Wenbin Lu, Michael R. Kosorok +1
An individualized dose rule recommends a dose level within a continuous safe dose range based on patient level information such as physical conditions, genetic factors and medicati…
A New Framework for Online Testing of Heterogeneous Treatment Effect
Miao Yu, Wenbin Lu, Rui Song
We propose a new framework for online testing of heterogeneous treatment effects. The proposed test, named sequential score test (SST), is able to control type I error under contin…
Penalized Q-Learning for Dynamic Treatment Regimes
Rui Song, Weiwei Wang, Donglin Zeng +1
A dynamic treatment regime effectively incorporates both accrued information and long-term effects of treatment from specially designed clinical trials. As these become more and mo…