Probabilistic sensitivity analysis on Markov models with uncertain transition probabilities : an application in evaluating treatment decisions for type 2 diabetes
Yuanhui Zhang, Haipeng Wu, Brian T. Denton, James R. Wilson, Jennifer M. Lobo
| Year of publication: |
2019
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|---|---|
| Authors: | Zhang, Yuanhui ; Wu, Haipeng ; Denton, Brian T. ; Wilson, James R. ; Lobo, Jennifer M. |
| Published in: |
Health care management science. - Norwell, Mass. [u.a.] : Springer Science + Business Media, ISSN 1386-9620, ZDB-ID 1469148-6. - Vol. 22.2019, 1, p. 34-52
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| Subject: | Robustness and sensitivity analysis | Markov model | Transition probability matrices | Medical decision-making | Monte Carlo simulation | Theorie | Theory | Markov-Kette | Markov chain | Sensitivitätsanalyse | Sensitivity analysis | Monte-Carlo-Simulation | Wahrscheinlichkeitsrechnung | Probability theory | Diabetes | Simulation |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1007/s10729-017-9420-8 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10011993984