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Statistical methods for hospital monitoring with R

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 dep...

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Bibliographic Details
Main Authors: Morton, Anthony Park, 1933
Group Author: Mengersen, Kerrie L; Playford, Geoffrey; Whitby, Michael, 1950
Published: Wiley,
Publisher Address: Chichester, West Sussex :
Publication Dates: 2013.
Literature type: Electronic eBook
Language: English
Series: Statistics in practice
Subjects:
Hospital Administration
Statistics as Topic
Hospitals > Administration > Statistical methods
MEDICAL / Hospital Administration & Care
Efficiency, Organizational
Health services administration
Electronic books
Online Access: http://onlinelibrary.wiley.com/book/10.1002/9781118639153
Summary: 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.
Carrier Form: 1 online resource.
Bibliography: Includes bibliographical references and index.
ISBN: 9781118639177 (ePub)
1118639170 (ePub)
9781118639160 (Adobe PDF)
1118639162 (Adobe PDF)
9781118639184 ( MobiPocket)
1118639189 ( MobiPocket)
9781118639153 (electronic bk.)
1118639154 (electronic bk.)
Access: License restrictions may limit access.
Index Number: RA971
CLC: R197.32
Contents: 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.

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