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Volumn 143, Issue , 2009, Pages 149-154

How can we know whether short term trends in a hospital's HSMR are significant?

Author keywords

Case mix adjustment; Quality improvement; Standardized mortality ratio; Time series analysis

Indexed keywords

INTELLIGENT SYSTEMS; MONTE CARLO METHODS; QUALITY CONTROL; TIME SERIES ANALYSIS;

EID: 67449091048     PISSN: 09269630     EISSN: 18798365     Source Type: Book Series    
DOI: 10.3233/978-1-58603-979-0-149     Document Type: Conference Paper
Times cited : (4)

References (9)
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    • Hospital mortality: When failure is not a good measure of success
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    • Handling over-dispersion of performance indicators
    • Spiegelhalter DJ. Handling over-dispersion of performance indicators. Qual Saf Health Care. 2005;14(5):347-51.
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    • Sherlaw-Johnson, C.1
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    • Taylor W. Change-Point Analyzer 2.0 shareware program [Internet]. Taylor Enterprises, Libertyville, Illinois. 2008 Mar 29. [cited 2008 Nov 1]. Available from: http://www.variation.com/cpa
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    • Look before you leap: Stratify before you standardize
    • Choi BC, de Guia NA, Walsh P. Look before you leap: stratify before you standardize. Am J of Epidemiol. 1999;149(12):1087-1096.
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    • Use of the false discovery rate when comparing multiple health care providers
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    • Jones, H.E.1    Ohlssen, D.I.2    Spiegelhalter, D.J.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.