Statistical methods for hospital monitoring with R / [electronic resource]
by Morton, Anthony Park [author.]; Mengersen, Kerrie L [author.]; Playford, Geoffrey [author.]; Whitby, Michael [author.].
Material type:
BookSeries: Statistics in practice: Publisher: Chichester, West Sussex : Wiley, 2013.Description: 1 online resource.ISBN: 9781118639177; 1118639170; 9781118639160; 1118639162; 9781118639184; 1118639189; 9781118639153; 1118639154; 1118596307; 9781118596302.Subject(s): Hospitals -- Administration -- Statistical methods | Hospital Administration | Statistics as Topic | Efficiency, Organizational | Health services administration | Hospital administration | Statistics as topic | MEDICAL -- Hospital Administration & Care | Hospitals -- Administration -- Statistical methods | Electronic books | Electronic booksOnline resources: Wiley Online Library Includes bibliographical references and index.
Proportion -- Risk adjustment -- Cusum and related charts for binary data -- Introduction rate and count data -- Introduction, data, limitations of aggregated count data analysis -- Arranging data by weeks, months, quarters -- Multiple antibiotic-resistant organism (MRO) prevalence -- Overview of hospital quality improvement.
Hospitals monitoring is becoming more complex and is increasing both because staff want their data analysed and because of increasing mandated surveillance. This book provides a suite of functions in R, enabling scientists and data analysts working in infection management and quality improvement departments in hospitals, to analyse their often non-independent data which is frequently in the form of trended, over-dispersed and sometimes auto-correlated time series; this is often difficult to analyse using standard office software. This book provides much-needed guidance on data analy.
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