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 de...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Somerset
Wiley
2013
|
| Ausgabe: | 1st ed |
| Schriftenreihe: | Statistics in Practice
|
| Schlagworte: | |
| Zusammenfassung: | 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 analysis using R for the growing number of scientists in hospital departments who are responsible for producing reports, and who may have limited statistical expertise. This book explores data analysis using R and is aimed at scientists in hospital departments who are responsible for producing reports, and who are involved in improving safety. Professionals working in the healthcare quality and safety community will also find this book of interest Statistical Methods for Hospital Monitoring with R: Provides functions to perform quality improvement and infection management data analysis. Explores the characteristics of complex systems, such as self-organisation and emergent behaviour, along with their implications for such activities as root-cause analysis and the Pareto principle that seek few key causes of adverse events. Provides a summary of key non-statistical aspects of hospital safety and easy to use functions. Provides R scripts in an accompanying web site enabling analyses to be performed by the reader http://www.wiley.com/go/hospital_monitoring Covers issues that will be of increasing importance in the future, such as, generalised additive models, and complex systems, networks and power laws |
| Beschreibung: | Description based on publisher supplied metadata and other sources |
| Beschreibung: | 1 online resource (473 pages) |
| ISBN: | 9781118639177 9781118596302 |
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Datensatz im Suchindex
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| any_adam_object | |
| author | Morton, Anthony |
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| author_sort | Morton, Anthony |
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| dewey-full | 362.11068 |
| dewey-hundreds | 300 - Social sciences |
| dewey-ones | 362 - Social problems and services to groups |
| dewey-raw | 362.11068 |
| dewey-search | 362.11068 |
| dewey-sort | 3362.11068 |
| dewey-tens | 360 - Social problems and services; associations |
| discipline | Soziologie |
| edition | 1st ed |
| format | Electronic eBook |
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| illustrated | Not Illustrated |
| indexdate | 2024-07-10T07:42:11Z |
| institution | BVB |
| isbn | 9781118639177 9781118596302 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-029457181 |
| oclc_num | 910620948 |
| open_access_boolean | |
| physical | 1 online resource (473 pages) |
| psigel | ZDB-30-PAD |
| publishDate | 2013 |
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| publisher | Wiley |
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| series2 | Statistics in Practice |
| spelling | Morton, Anthony Verfasser aut Statistical Methods for Hospital Monitoring with R. 1st ed Somerset Wiley 2013 © 2013 1 online resource (473 pages) txt rdacontent c rdamedia cr rdacarrier Statistics in Practice Description based on publisher supplied metadata and other sources 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 analysis using R for the growing number of scientists in hospital departments who are responsible for producing reports, and who may have limited statistical expertise. This book explores data analysis using R and is aimed at scientists in hospital departments who are responsible for producing reports, and who are involved in improving safety. Professionals working in the healthcare quality and safety community will also find this book of interest Statistical Methods for Hospital Monitoring with R: Provides functions to perform quality improvement and infection management data analysis. Explores the characteristics of complex systems, such as self-organisation and emergent behaviour, along with their implications for such activities as root-cause analysis and the Pareto principle that seek few key causes of adverse events. Provides a summary of key non-statistical aspects of hospital safety and easy to use functions. Provides R scripts in an accompanying web site enabling analyses to be performed by the reader http://www.wiley.com/go/hospital_monitoring Covers issues that will be of increasing importance in the future, such as, generalised additive models, and complex systems, networks and power laws Efficiency, Organizational Health services administration Hospital administration Statistics as topic Mengersen, Kerrie L. Sonstige oth Playford, Geoffrey Sonstige oth Whitby, Michael Sonstige oth Erscheint auch als Druck-Ausgabe Morton, Anthony Statistical Methods for Hospital Monitoring with R |
| spellingShingle | Morton, Anthony Statistical Methods for Hospital Monitoring with R. Efficiency, Organizational Health services administration Hospital administration Statistics as topic |
| title | Statistical Methods for Hospital Monitoring with R. |
| title_auth | Statistical Methods for Hospital Monitoring with R. |
| title_exact_search | Statistical Methods for Hospital Monitoring with R. |
| title_full | Statistical Methods for Hospital Monitoring with R. |
| title_fullStr | Statistical Methods for Hospital Monitoring with R. |
| title_full_unstemmed | Statistical Methods for Hospital Monitoring with R. |
| title_short | Statistical Methods for Hospital Monitoring with R. |
| title_sort | statistical methods for hospital monitoring with r |
| topic | Efficiency, Organizational Health services administration Hospital administration Statistics as topic |
| topic_facet | Efficiency, Organizational Health services administration Hospital administration Statistics as topic |
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