655 citations · 767 across the 28 of their papers we have counts for
12 papers · 1 filter
Mining the Factor Zoo: Estimation of Latent Factor Models with Sufficient Proxies
Runzhe Wan, Yingying Li, Wenbin Lu +1
Latent factor model estimation typically relies on either using domain knowledge to manually pick several observed covariates as factor proxies, or purely conducting multivariate a…
On Heterogeneous Treatment Effects in Heterogeneous Causal Graphs
Richard A Watson, Hengrui Cai, Xinming An +2
Heterogeneity and comorbidity are two interwoven challenges associated with various healthcare problems that greatly hampered research on developing effective treatment and underst…
Transformation-Invariant Learning of Optimal Individualized Decision Rules with Time-to-Event Outcomes
Yu Zhou, Lan Wang, Rui Song +1
In many important applications of precision medicine, the outcome of interest is time to an event (e.g., death, relapse of disease) and the primary goal is to identify the optimal…
Adaptive Semi-Supervised Inference for Optimal Treatment Decisions with Electronic Medical Record Data
Kevin Gunn, Wenbin Lu, Rui Song
A treatment regime is a rule that assigns a treatment to patients based on their covariate information. Recently, estimation of the optimal treatment regime that yields the greates…
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…
An Online Sequential Test for Qualitative Treatment Effects
Chengchun Shi, Shikai Luo, Hongtu Zhu +1
Tech companies (e.g., Google or Facebook) often use randomized online experiments and/or A/B testing primarily based on the average treatment effects to compare their new product w…
Online Testing of Subgroup Treatment Effects Based on Value Difference
Miao Yu, Wenbin Lu, Rui Song
Online A/B testing plays a critical role in the high-tech industry to guide product development and accelerate innovation. It performs a null hypothesis statistical test to determi…
On Estimating Optimal Regime for Treatment Initiation Time Based on Restricted Mean Residual Lifetime
Xin Chen, Rui Song, Jiajia Zhang +3
When to initiate treatment on patients is an important problem in many medical studies such as AIDS and cancer. In this article, we formulate the treatment initiation time problem…
Doubly Robust Inference when Combining Probability and Non-probability Samples with High-dimensional Data
Shu Yang, Jae Kwang Kim, Rui Song
Non-probability samples become increasingly popular in survey statistics but may suffer from selection biases that limit the generalizability of results to the target population. W…
Sequential Advantage Selection for Optimal Treatment Regimes
Ailin Fan, Wenbin Lu, Rui Song
Variable selection for optimal treatment regime in a clinical trial or an observational study is getting more attention. Most existing variable selection techniques focused on sele…
Nonparametric Independence Screening in Sparse Ultra-High Dimensional Additive Models
Jianqing Fan, Yang Feng, Rui Song
A variable screening procedure via correlation learning was proposed Fan and Lv (2008) to reduce dimensionality in sparse ultra-high dimensional models. Even when the true model is…
Sure independence screening in generalized linear models with NP-dimensionality
Jianqing Fan, Rui Song
Ultrahigh-dimensional variable selection plays an increasingly important role in contemporary scientific discoveries and statistical research. Among others, Fan and Lv [J. R. Stat.…