A DEA based composite measure of quality and its associated data uncertainty interval for health care provider profiling and pay-for-performance
Michael Shwartz, James F. Burgess Jr., Joe Zhu
| Year of publication: |
1 September 2016
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| Authors: | Shwartz, Michael ; Burgess, James Francis ; Zhu, Joe |
| Published in: |
European journal of operational research : EJOR. - Amsterdam : Elsevier, ISSN 0377-2217, ZDB-ID 243003-4. - Vol. 253.2016, 2 (1.9.), p. 489-502
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| Subject: | Data Envelopment Analysis (DEA) | Health care quality | Monte Carlo | Bootstrapping | Performance | Data-Envelopment-Analyse | Data envelopment analysis | Gesundheitsversorgung | Health care | Theorie | Theory | Gesundheitswesen | Health care system | Bootstrap-Verfahren | Bootstrap approach | Performance-Messung | Performance measurement | Dienstleistungsqualität | Service quality | Krankenhaus | Hospital | Monte-Carlo-Simulation | Monte Carlo simulation | Produktqualität | Product quality | Technische Effizienz | Technical efficiency |
| Type of publication: | Article |
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| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1016/j.ejor.2016.02.049 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10011490366