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20102026
most citedNonconcave penalized composite conditional likelihood estimation of sparse Ising models

48 citations · 79 across the 16 of their papers we have counts for

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17 papers · 1 filter

stat.ME2026

Calibrated Estimation and Inference for Semiparametric Regression Models

Yuming Zhang, Yanyuan Ma, Tianxi Cai +2

We consider a broad class of semiparametric regression models in which the conditional distribution of the response takes the form , kno…

stat.ME20221 cited

Using a Surrogate with Heterogeneous Utility to Test for a Treatment Effect

Layla Parast, Tianxi Cai, Lu Tian

The primary benefit of identifying a valid surrogate marker is the ability to use it in a future trial to test for a treatment effect with shorter follow-up time or less cost. Howe…

stat.ME20211 cited

Efficient and Robust Semi-supervised Estimation of ATE with Partially Annotated Treatment and Response

Jue Hou, Rajarshi Mukherjee, Tianxi Cai

A notable challenge of leveraging Electronic Health Records (EHR) for treatment effect assessment is the lack of precise information on important clinical variables, including the…

stat.ME2021

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…

stat.ME20212 cited

On the Evaluation of Surrogate Markers in Real World Data Settings

Larry Han, Xuan Wang, Tianxi Cai

Shortcomings of randomized clinical trials are pronounced in urgent health crises, when rapid identification of effective treatments is critical. Leveraging short-term surrogates i…

stat.ME2021

A new weighting method when not all the events are selected as cases in a nested case-control study

Qian M. Zhou, Xuan Wang, Yingye Zheng +1

Nested case-control (NCC) is a sampling method widely used for developing and evaluating risk models with expensive biomarkers on large prospective cohort studies. The biomarker va…