Statistical methods for hospital monitoring with R /
General Material Designation
[Book]
First Statement of Responsibility
Anthony Morton, Kerrie Mengersen, Geoffrey Playford, Michael Whitby
PHYSICAL DESCRIPTION
Specific Material Designation and Extent of Item
1 online resource
SERIES
Series Title
Statistics in practice
INTERNAL BIBLIOGRAPHIES/INDEXES NOTE
Text of Note
Includes bibliographical references and index
CONTENTS NOTE
Text of Note
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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SUMMARY OR ABSTRACT
Text of Note
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
OTHER EDITION IN ANOTHER MEDIUM
Title
Statistical methods for hospital monitoring with R.