Min Zhang

Works (4)

Updated: August 13th, 2023 21:16

2010 article

Inference on treatment effects from a randomized clinical trial in the presence of premature treatment discontinuation: the SYNERGY trial

Zhang, M., Tsiatis, A. A., Davidian, M., Pieper, K. S., & Mahaffey, K. W. (2010, August 25). Biostatistics, Vol. 12, pp. 258–269.

By: M. Zhang*, A. Tsiatis n, M. Davidian n , K. Pieper & K. Mahaffey

author keywords: Dynamic treatment regime; Inverse probability weighting; Potential outcomes; Proportional hazards model
MeSH headings : Acute Coronary Syndrome / drug therapy; Algorithms; Computer Simulation; Endpoint Determination; Enoxaparin / administration & dosage; Enoxaparin / adverse effects; Enoxaparin / therapeutic use; Hemorrhage / etiology; Heparin / administration & dosage; Heparin / adverse effects; Heparin / therapeutic use; Humans; Intention to Treat Analysis; Models, Statistical; Monte Carlo Method; Mortality; Multicenter Studies as Topic; Probability; Proportional Hazards Models; Randomized Controlled Trials as Topic / methods; Survival Analysis; Treatment Outcome; Withholding Treatment / statistics & numerical data
topics (OpenAlex): Statistical Methods in Clinical Trials; Advanced Causal Inference Techniques; Health Systems, Economic Evaluations, Quality of Life
TL;DR: The Superior Yield of the New Strategy of Enoxaparin, Revascularization, and GlYcoprotein IIb/IIIa inhibitors (SYNERGY) was a randomized, open-label, multicenter clinical trial comparing 2 anticoagulant drugs on the basis of time-to-event endpoints. (via Semantic Scholar)
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3. Good Health and Well-being (Web of Science; OpenAlex)
Sources: Web Of Science, NC State University Libraries
Added: August 6, 2018

2008 article

Improving Efficiency of Inferences in Randomized Clinical Trials Using Auxiliary Covariates

Prague, M., Rui, W., Alisa, S., Eric, T., & Gruttola, V. (2008, January 11). Biometrics, Vol. 64, pp. 707–715.

By: M. Prague *, W. Rui *, S. Alisa*, T. Eric* & V. Gruttola*

author keywords: covariate adjustment; hypothesis test; k-arm trial; Kruskal-Wallis test; log odds ratio; longitudinal data; semiparametric theory
MeSH headings : Acquired Immunodeficiency Syndrome / drug therapy; Analysis of Variance; Angina, Unstable / blood; Angina, Unstable / drug therapy; Anti-HIV Agents / therapeutic use; Anticoagulants / therapeutic use; Biometry / methods; Humans; Linear Models; Logistic Models; Models, Statistical; Monte Carlo Method; Odds Ratio; Platelet Glycoprotein GPIIb-IIIa Complex / metabolism; Randomized Controlled Trials as Topic / statistics & numerical data; Treatment Outcome
topics (OpenAlex): Statistical Methods in Clinical Trials; Advanced Causal Inference Techniques; Statistical Methods and Inference
TL;DR: Taking a semiparametric theory perspective, this work proposes a broadly applicable approach to adjustment for auxiliary covariates to achieve more efficient estimators and tests for treatment parameters in the analysis of randomized clinical trials. (via Semantic Scholar)
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Sources: Web Of Science, NC State University Libraries
Added: August 6, 2018

2007 article

Covariate adjustment for two‐sample treatment comparisons in randomized clinical trials: A principled yet flexible approach

Tsiatis, A. A., Davidian, M., Zhang, M., & Lu, X. (2007, October 24). Statistics in Medicine, Vol. 27, pp. 4658–4677.

By: A. Tsiatis n, M. Davidian* , M. Zhang* & X. Lu

author keywords: baseline variables; clinical trials; covariate adjustment; efficiency; semiparametric theory; variable selection
MeSH headings : Algorithms; Data Interpretation, Statistical; Humans; Randomized Controlled Trials as Topic / statistics & numerical data; Sampling Studies; Statistics, Nonparametric; Treatment Outcome
topics (OpenAlex): Statistical Methods and Inference; Advanced Causal Inference Techniques; Statistical Methods in Clinical Trials
TL;DR: App appealing to the theory of semiparametrics is led naturally to a characterization of all treatment effect estimators and to principled, practically feasible methods for covariate adjustment that yield the desired gains in efficiency and that allow covariate relationships to be identified and exploited while circumventing the usual concerns. (via Semantic Scholar)
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Sources: Web Of Science, NC State University Libraries
Added: August 6, 2018

2007 article

“Smooth” Semiparametric Regression Analysis for Arbitrarily Censored Time‐to‐Event Data

Zhang, M., & Davidian, M. (2007, October 27). Biometrics, Vol. 64, pp. 567–576.

By: M. Zhang n & M. Davidian* 

author keywords: accelerated failure time model; heteroscedasticity; information criteria; interval censoring; proportional hazards model; proportional odds model; seminonparametric (SNP) density; time-dependent covariates
MeSH headings : Biometry / methods; Computer Simulation; Data Interpretation, Statistical; Models, Statistical; Regression Analysis; Statistics, Nonparametric
topics (OpenAlex): Statistical Methods and Inference; Statistical Methods and Bayesian Inference; Optimal Experimental Design Methods
TL;DR: A general framework for regression analysis of time-to-event data subject to arbitrary patterns of censoring is proposed, which allows popular models, such as the proportional hazards, proportional odds, and accelerated failure time models, to be placed in a common framework and provides a principled basis for choosing among them. (via Semantic Scholar)
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Sources: Web Of Science, NC State University Libraries
Added: August 6, 2018

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