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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Main Authors: | |
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Group Author: | ; ; |
Published: |
Wiley,
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Publisher Address: | Chichester, West Sussex : |
Publication Dates: | 2013. |
Literature type: | Electronic eBook |
Language: | English |
Series: |
Statistics in practice
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Subjects: | |
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. |