Statistical methods for hospital monitoring with R [electronic resource] / Anthony Morton, Kerrie Mengersen, Geoffrey Playford, Michael Whitby.
Material type: TextSeries: Statistics in practicePublisher: Chichester, West Sussex : Wiley, 2013Description: 1 online resourceContent type:- text
- computer
- online resource
- 9781118639177
- 1118639170
- 9781118639160
- 1118639162
- 9781118639184
- 1118639189
- 9781118639153
- 1118639154
- 1118596307
- 9781118596302
- 362.11068 23
- RA971
- WX 150.1
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.
Print version record and.publisher; resource not viewed.
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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