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.
Table of Contents
1 Introduction to analysis of binary and proportion data 24
2 The analysis of aggregated binary data 67
3 Sequential binary data 116
4 Introduction to analysis of count and rate data 168
5 Tables and charts for aggregated count data 203
6 Sequential count and rate data 242
7 Miscellaneous AEs 307
8 Hospital safety and adverse event prevention 374
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