Isbn: 9781118596302 - statistical methods for hospital monitoring with r (statistics in practice) (20 resultados)

Hardback. Condición: Good. Hospitals monitoring is becoming more complex and is increasing both because staff want their data analysed and because of increasing mandated surveillance.

Condición: New.

Hardcover. Condición: new. Hardcover. 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 _monitoringCovers issues that will be of increasing importance in the future, such as, generalised additive models, and complex systems, networks and power laws. Hospitals monitoring is becoming more complex and is increasing both because staff want their data analysed and because of increasing mandated surveillance. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Hardback. Condición: Good. Hospitals monitoring is becoming more complex and is increasing both because staff want their data analysed and because of increasing mandated surveillance.

HRD. Condición: New. New Book. Shipped from UK. Established seller since 2000.

Condición: New. pp. 448.

Condición: New.

Condición: New.

Condición: New. pp. 448.

Condición: New. In English.

Hardcover. Condición: new. Hardcover. 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 _monitoringCovers issues that will be of increasing importance in the future, such as, generalised additive models, and complex systems, networks and power laws. Hospitals monitoring is becoming more complex and is increasing both because staff want their data analysed and because of increasing mandated surveillance. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.…

Hardcover. Condición: new. Hardcover. 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 _monitoringCovers issues that will be of increasing importance in the future, such as, generalised additive models, and complex systems, networks and power laws. Hospitals monitoring is becoming more complex and is increasing both because staff want their data analysed and because of increasing mandated surveillance. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

Condición: New. Anthony Morton and Geoffrey Playford, Princess Alexandra Hospital, Brisbane, AustraliaKerrie Mengersen, Science and Engineering Faculty, Queensland University of Technology, AustraliaMichael Whitby, Greenslopes Specialist Centre, Queensland, AustraliaHo.

Condición: As New. Unread book in perfect condition.

Hardcover. Condición: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

Condición: As New. Unread book in perfect condition.

Buch. Condición: Neu. Neuware.

Condición: New. Hospitals monitoring is becoming more complex and is increasing both because staff want their data analysed and because of increasing mandated surveillance. Series: Statistics in Practice. Num Pages: 426 pages, illustrations. BIC Classification: MBNS. Category: (P) Professional & Vocational. Dimension: 253 x 177 x 25. Weight in Grams: 816. . 2013. . . . . Books ship from the US and Ireland. …

Condición: New. Hospitals monitoring is becoming more complex and is increasing both because staff want their data analysed and because of increasing mandated surveillance. Series: Statistics in Practice. Num Pages: 426 pages, illustrations. BIC Classification: MBNS. Category: (P) Professional & Vocational. Dimension: 253 x 177 x 25. Weight in Grams: 816. . 2013. . . . . …

Condición: New. PRINT ON DEMAND pp. 448.