Yunshu Zhang

College of Sciences

Works (5)

Updated: July 21st, 2025 14:37

2025 journal article

Matching estimators of causal effects in clustered observational studies

Journal of Causal Inference, 13(1).

By: C. Cui n, Y. Zhang n, S. Yang n , B. Reich n  & D. Gill *

Contributors: C. Cui n, Y. Zhang n, S. Yang n , B. Reich n  & D. Gill *

author keywords: causal inference; conservation; potential outcomes; weighted bootstrap
topics (OpenAlex): Advanced Causal Inference Techniques; Statistical Methods and Inference; Statistical Methods and Bayesian Inference
Sources: Web Of Science, NC State University Libraries, Crossref, ORCID
Added: July 17, 2025

2022 article

Multiply robust matching estimators of average and quantile treatment effects

Yang, S., & Zhang, Y. (2022, March 13). Scandinavian Journal of Statistics, Vol. 4.

By: S. Yang n  & Y. Zhang n

author keywords: Bahadur representation; causal effect on the treated; double robustness; quantile estimation; weighted bootstrap
topics (OpenAlex): Advanced Causal Inference Techniques; Statistical Methods and Inference; Statistical Methods and Bayesian Inference
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Sources: Web Of Science, NC State University Libraries, ORCID
Added: April 18, 2022

2021 article

Practical recommendations on double score matching for estimating causal effects

Zhang, Y., Yang, S., Ye, W., Faries, D. E., Lipkovich, I., & Kadziola, Z. (2021, December 26). Statistics in Medicine, Vol. 12.

By: Y. Zhang n, S. Yang n , W. Ye *, D. Faries *, I. Lipkovich * & Z. Kadziola *

author keywords: average treatment effect on the treated; causal inference; double robustness; prognostic score; propensity score
MeSH headings : Bias; Causality; Computer Simulation; Humans; Propensity Score
topics (OpenAlex): Advanced Causal Inference Techniques; Statistical Methods and Inference; Health Systems, Economic Evaluations, Quality of Life
TL;DR: DSM is doubly robust in the sense that the matching estimator is consistent requiring either the propensity score model or the prognostic score model is correctly specified, and this study supports that DSM performs favorably with, if not better than, the two single score matching in terms of bias and variance. (via Semantic Scholar)
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Sources: Web Of Science, NC State University Libraries, ORCID
Added: January 3, 2022

2020 article

High-Dimensional Precision Medicine From Patient-Derived Xenografts

Rashid, N. U., Luckett, D. J., Chen, J., Lawson, M. T., Wang, L., Zhang, Y., … Kosorok, M. R. (2020, September 28). Journal of the American Statistical Association.

By: N. Rashid *, D. Luckett *, J. Chen *, M. Lawson*, L. Wang n, Y. Zhang n, E. Laber n, Y. Liu * ...

author keywords: Biomarkers; Deep learning autoencoders; Machine learning; Outcome weighted learning; Precision medicine; Q-learning
topics (OpenAlex): Cancer Genomics and Diagnostics; Statistical Methods in Clinical Trials; Mathematical Biology Tumor Growth
TL;DR: This paper analyzes data from a large PDX study to identify biomarkers that are informative for developing personalized treatment recommendations in multiple cancers and implements a superlearner approach to combine a set of estimated ITRs, indicating that PDX data are a valuable resource for developing individualized treatment strategies in oncology. (via Semantic Scholar)
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Source: Web Of Science
Added: November 30, 2020

2019 article

Sharp bounds on the relative treatment effect for ordinal outcomes

Lu, J., Zhang, Y., & Ding, P. (2019, November 19). Biometrics.

By: J. Lu *, Y. Zhang n & P. Ding *

author keywords: causal inference; partial identification; potential outcomes
MeSH headings : Biometry; Cardia; Causality; Computer Simulation; Female; Humans; Male; Models, Statistical; Observational Studies as Topic / statistics & numerical data; Outcome Assessment, Health Care / statistics & numerical data; Randomized Controlled Trials as Topic / statistics & numerical data; Rape / prevention & control; Stomach Neoplasms / mortality; Stomach Neoplasms / therapy; Treatment Outcome
topics (OpenAlex): Health Systems, Economic Evaluations, Quality of Life; Advanced Causal Inference Techniques; Statistical Methods and Inference
TL;DR: It is argued that the relative treatment effect can be a useful measure, especially for ordinal outcomes, and the sharp bounds on γ are derived, which are identifiable parameters based on the observed data. (via Semantic Scholar)
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Source: Web Of Science
Added: December 2, 2019

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