1 citations · 1 across the 7 of their papers we have counts for
7 papers
Win-Ratio Regression for Prioritized Composite Outcomes in Observational Studies: Doubly Robust and Efficient Estimation with Future-Score Correction
Zhuochao Huang, Lucy Shao, Yi Guo +4
Prioritized pairwise outcomes are useful when clinical events follow a natural hierarchy, but censoring before pair resolution complicates estimation. We develop a win-ratio regres…
Multivariate incremental effects for continuous treatments: Studying the health effects of environmental mixtures
Zhuochao Huang, Kejin Dong, Tuo Lin +1
Evaluating the causal health effects of multivariate, continuous exposures, such as air pollution mixtures, is a critical public health challenge. A primary obstacle is the frequen…
Surrogate-Assisted Estimation of Exposure-Time Effects in Stepped-Wedge Trials with Administratively Censored Outcomes
Lin Li, Tuo Lin, Yiwen Chen +1
In stepped-wedge trials, effects often change with the time since a cluster crossed over, and a delayed primary outcome is administratively censored for clusters that cross over la…
A doubly robust estimator for the Mann Whitney Wilcoxon Rank Sum Test when applied for causal inference in observational studies
Ruohui Chen, Tuo Lin, Lin Liu +8
The Mann-Whitney-Wilcoxon rank sum test (MWWRST) is a widely used method for comparing two treatment groups in randomized control trials, particularly when dealing with highly skew…
On Semiparametric Efficiency of an Emerging Class of Regression Models for Between-subject Attributes
Jinyuan Liu, Tuo Lin, Tian Chen +2
The semiparametric regression models have attracted increasing attention owing to their robustness compared to their parametric counterparts. This paper discusses the efficiency bo…
A Riemann Manifold Model Framework for Longitudinal Changes in Physical Activity Patterns
Jingjing Zou, Tuo Lin, Chongzhi Di +7
Physical activity (PA) is significantly associated with many health outcomes. The wide usage of wearable accelerometer-based activity trackers in recent years has provided a unique…
Modeling Homophily in Dynamic Networks with Application to HIV Molecular Surveillance
V. DeGruttola, M. Nakazawa, J. Liu +3
This paper describes a novel approach to modeling homphily, i.e. the tendency of nodes that share (or differ in) certain attributes to be linked; we consider dynamic networks in wh…