Yuanhui Zhang

Works (4)

Updated: July 5th, 2023 15:31

2019 journal article

Probabilistic sensitivity analysis on Markov models with uncertain transition probabilities: an application in evaluating treatment decisions for type 2 diabetes

Health Care Management Science, 22(1), 34–52.

By: Y. Zhang n, H. Wu *, B. Denton*, J. Wilson n & J. Lobo *

author keywords: Robustness and sensitivity analysis; Markov model; Transition probability matrices; Medical decision-making; Monte Carlo simulation
MeSH headings : Decision Making; Diabetes Mellitus, Type 1 / therapy; Humans; Markov Chains; Models, Statistical; Monte Carlo Method; Probability; Uncertainty
TL;DR: This article describes two simulation-based approaches for conducting probabilistic sensitivity analysis on a given discrete-time, finite-horizon, infinite-state Markov model using TPMs that are sampled over a specified uncertainty set according to a relevant probability distribution. (via Semantic Scholar)
UN Sustainable Development Goal Categories
16. Peace, Justice and Strong Institutions (OpenAlex)
Sources: Web Of Science, Crossref
Added: February 25, 2019

2015 journal article

Changing trends in type 2 diabetes mellitus treatment intensification, 2002-2010

American Journal of Managed Care, 21(5), E288-.

By: R. McCoy, Y. Zhang, J. Herrin, B. Denton, J. Mason, V. Montori, S. Smith, N. Shah

Source: NC State University Libraries
Added: August 6, 2018

2014 journal article

Second- line agents for glycemic control for type 2 diabetes: Are newer agents better?

Diabetes Care, 37(5), 1338–1345.

By: Y. Zhang, R. McCoy, J. Mason, S. Smith, N. Shah & B. Denton

Source: NC State University Libraries
Added: August 6, 2018

2014 personal communication

Second-line agents for glycemic control for type 2 diabetes: Are newer agents better? Diabetes care 2014;37:1338-1345 response

By: Y. Zhang, R. McCoy, J. Mason, S. Smith, N. Shah & B. Denton

Source: NC State University Libraries
Added: August 6, 2018

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