Yichi Zhang

Works (5)

Updated: February 12th, 2024 13:55

2022 article

Covariance Estimation for Matrix-valued Data

Zhang, Y., Shen, W., & Kong, D. (2022, April 21). Journal of the American Statistical Association.

By: Y. Zhang n, W. Shen * & D. Kong *

author keywords: Bandable; Distribution-free; Minimax rate; Robust; Separable
topics (OpenAlex): Random Matrices and Applications; Statistical Methods and Inference; Statistical Methods and Bayesian Inference
TL;DR: A unified framework for estimating bandable covariance is formulated, and an efficient algorithm based on rank one unconstrained Kronecker product approximation is introduced, and the derived minimax lower bound shows the proposed estimator is rate-optimal under certain divergence regimes of matrix size. (via Semantic Scholar)
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Source: Web Of Science
Added: June 13, 2022

2018 article

Entropy Learning for Dynamic Treatment Regimes

Jiang, B., Song, R., Li, J., Zeng, D., Lu, W., He, X., … Kallus, N. (2018, October 22). Statistica Sinica, Vol. 29, pp. 1633–1710.

By: B. Jiang  n, R. Song n , J. Li  n, D. Zeng  n, W. Lu , X. He, S. Xu, J. Wang ...

author keywords: Dynamic treatment regime; entropy learning; personalized medicine
topics (OpenAlex): Statistical Methods and Inference; Statistical Methods in Clinical Trials; Advanced Causal Inference Techniques
TL;DR: A entropy learning approach to estimate the optimal individualized treatment rules (ITRs) is proposed and the asymptotic distributions for the estimated rules are obtained so as to provide valid inference. (via Semantic Scholar)
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Sources: Web Of Science, NC State University Libraries
Added: September 30, 2019

2017 article

Interpretable Dynamic Treatment Regimes

Zhang, Y., Laber, E. B., Davidian, M., & Tsiatis, A. A. (2017, August 4). Journal of the American Statistical Association, Vol. 113, pp. 1541–1549.

By: Y. Zhang*, E. Laber n, M. Davidian n  & A. Tsiatis n

author keywords: Decision lists; Interpretability; Precision medicine; Research-practice gap; Treatment regimes; Tree-based methods
topics (OpenAlex): Advanced Causal Inference Techniques; Statistical Methods in Clinical Trials; Statistical Methods and Inference
TL;DR: An estimator of an optimal treatment regime composed of a sequence of decision rules, each expressible as a list of “if-then” statements that can be presented as either a paragraph or as a simple flowchart that is immediately interpretable to domain experts is proposed. (via Semantic Scholar)
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Sources: Web Of Science, NC State University Libraries
Added: February 18, 2019

2016 article

Testing for additivity in non‐parametric regression

Zhang, Y., Staicu, A. M., & Maity, A. (2016, August 8). Canadian Journal of Statistics, Vol. 8, pp. 445–462.

By: Y. Zhang n, A. Staicu n  & A. Maity n 

Contributors: Y. Zhang n, A. Staicu n  & A. Maity n 

author keywords: Generalized F test; linear mixed models; non-parametric regression; restricted likelihood ratio test; testing for additivity; testing for variance components
topics (OpenAlex): Statistical Methods and Inference; Advanced Statistical Methods and Models; Statistical Methods and Bayesian Inference
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Sources: Web Of Science, ORCID, NC State University Libraries
Added: August 6, 2018

2015 article

Using Decision Lists to Construct Interpretable and Parsimonious Treatment Regimes

Zhang, Y., Laber, E. B., Tsiatis, A., & Davidian, M. (2015, July 20). Biometrics, Vol. 71, pp. 895–904.

By: Y. Zhang n, E. Laber n, A. Tsiatis n & M. Davidian n 

author keywords: Decision lists; Exploratory analyses; Interpretability; Personalized medicine; Treatment regimes
MeSH headings : Biometry / methods; Breast Neoplasms / drug therapy; Clinical Protocols; Clinical Trials as Topic / statistics & numerical data; Computer Simulation; Decision Trees; Depression / therapy; Evidence-Based Medicine / statistics & numerical data; Female; Humans; Models, Statistical; Precision Medicine / statistics & numerical data
topics (OpenAlex): Advanced Causal Inference Techniques; Statistical Methods in Clinical Trials; Statistical Methods and Inference
TL;DR: A simple, yet flexible class of treatment regimes whose members are representable as a short list of if–then statements are proposed, which are immediately interpretable and are therefore an appealing choice for broad application in practice. (via Semantic Scholar)
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Sources: Web Of Science, NC State University Libraries
Added: August 6, 2018

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