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...
Main Authors: | , , , |
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Format: | Electronic eBook |
Language: | English |
Published: |
Chichester, West Sussex :
Wiley,
2013.
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Series: | Statistics in practice.
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Subjects: | |
Online Access: | Full Text via HEAL-Link |
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. |
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Physical Description: | 1 online resource. |
Bibliography: | Includes bibliographical references and index. |
ISBN: | 9781118639177 1118639170 9781118639160 1118639162 9781118639184 1118639189 9781118639153 1118639154 1118596307 9781118596302 |
DOI: | 10.1002/9781118639153 |