Statistical methods for hospital monitoring with R

• Κύριοι συγγραφείς: Morton, Anthony Park, 1933- (Συγγραφέας), Mengersen, Kerrie L. (Συγγραφέας), Playford, Geoffrey (Συγγραφέας), Whitby, Michael, 1950- (Συγγραφέας)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Chichester, West Sussex : Wiley, 2013.
• Σειρά: Statistics in practice.
• Θέματα: Hospitals > Administration > Statistical methods.; Hospital Administration.; Statistics as Topic.; Efficiency, Organizational.; Health services administration.; Hospital administration.; Statistics as topic.; MEDICAL > Hospital Administration & Care.; Electronic books.

 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. 

 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.