ΠΠ° ΡΠ°ΠΉΡΠ΅ xtreker.ru Π²Ρ ΠΌΠΎΠΆΠ΅ΡΠ΅ ΠΏΡΠΎΡΠΈΡΠ°ΡΡ ΠΊΠ½ΠΈΠ³Ρ Statistical Methods for Hospital Monitoring with R ΠΏΠΎΠ΄ Π°Π²ΡΠΎΡΡΡΠ²ΠΎΠΌ Anthony Morton, Kerrie L. Mengersen, Geoffrey Playford, Michael Whitby, Wiley Π±Π΅ΡΠΏΠ»Π°ΡΠ½ΠΎ ΠΈ Π±Π΅Π· ΡΠ΅Π³ΠΈΡΡΡΠ°ΡΠΈΠΈ. Π‘ΠΊΠ°ΡΠ°ΡΡ ΠΊΠ½ΠΈΠ³Ρ Π² ΡΠΎΡΠΌΠ°ΡΠ΅ FB2, TXT, RTF, EPUB
Π‘ΠΠΠ§ΠΠ’Π¬ ΠΠΠ‘ΠΠΠΠ’ΠΠ ΠΠΠΠΠ£ Statistical Methods for Hospital Monitoring with R
Π‘ΠΊΠ°ΡΠ°ΡΡ ΠΊΠ½ΠΈΠ³Ρ Π² ΡΠΎΡΠΌΠ°ΡΠ΅ FB2
Π‘ΠΊΠ°ΡΠ°ΡΡ ΠΊΠ½ΠΈΠ³Ρ Π² ΡΠΎΡΠΌΠ°ΡΠ΅ TXT
Π‘ΠΊΠ°ΡΠ°ΡΡ ΠΊΠ½ΠΈΠ³Ρ Π² ΡΠΎΡΠΌΠ°ΡΠ΅ EPUB
Π‘ΠΊΠ°ΡΠ°ΡΡ ΠΊΠ½ΠΈΠ³Ρ Π² ΡΠΎΡΠΌΠ°ΡΠ΅ RTFΠ‘ΡΠΆΠ΅Ρ ΠΊΠ½ΠΈΠ³ΠΈ Statistical Methods for Hospital Monitoring with R
Π£ Π½Π°Ρ Π½Π° ΡΠ°ΠΉΡΠ΅ Π²Ρ ΠΌΠΎΠΆΠ΅ΡΠ΅ ΠΏΡΠΎΡΠΈΡΠ°ΡΡ ΠΊΠ½ΠΈΠ³Ρ Statistical Methods for Hospital Monitoring with R ΠΎΠ½Π»Π°ΠΉΠ½.
ΠΠ²ΡΠΎΡΡ Π΄Π°Π½Π½ΠΎΠ³ΠΎ ΠΏΡΠΎΠΈΠ·Π²Π΅Π΄Π΅Π½ΠΈΡ: Anthony Morton, Kerrie L. Mengersen, Geoffrey Playford, Michael Whitby, Wiley — ΡΠΎΠ·Π΄Π°Π»ΠΈ ΡΠ½ΠΈΠΊΠ°Π»ΡΠ½ΠΎΠ΅ ΠΏΡΠΎΠΈΠ·Π²Π΅Π΄Π΅Π½ΠΈΠ΅ Π² ΠΆΠ°Π½ΡΠ΅: ΡΠΏΠΈΠ΄Π΅ΠΌΠΈΠΎΠ»ΠΎΠ³ΠΈΡ. ΠΠ°Π»Π΅Π΅ ΠΌΡ Π² Π΄Π΅ΡΠ°Π»ΡΡ
ΡΠ°ΡΡΠΊΠ°ΠΆΠ΅ΠΌ ΠΎ ΡΡΠΆΠ΅ΡΠ΅ ΠΊΠ½ΠΈΠ³ΠΈ Statistical Methods for Hospital Monitoring with R ΠΈ ΠΏΠΎΠ·Π²ΠΎΠ»ΠΈΠΌ ΡΠΈΡΠ°ΡΠ΅Π»ΡΠΌ ΠΏΡΠΎΡΠΈΡΠ°ΡΡ ΠΏΡΠΎΠΈΠ·Π²Π΅Π΄Π΅Π½ΠΈΠ΅ ΠΎΠ½Π»Π°ΠΉΠ½.
Hospitals monitoring is becoming more complex and is increasing both because staff want their data analysed and because of increasing mandated surveillance.Β 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.Β
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 //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.
ΠΡ ΡΠ°ΠΊΠΆΠ΅ ΠΌΠΎΠΆΠ΅ΡΠ΅ Π±Π΅ΡΠΏΠ»Π°ΡΠ½ΠΎ ΠΏΡΠΎΡΠΈΡΠ°ΡΡ ΠΊΠ½ΠΈΠ³Ρ Statistical Methods for Hospital Monitoring with R ΠΎΠ½Π»Π°ΠΉΠ½:
ΠΡΠ»ΠΈ Π²Π°ΠΌ ΠΏΠΎΠ½ΡΠ°Π²ΠΈΠ»Π°ΡΡ ΠΊΠ½ΠΈΠ³Π° Statistical Methods for Hospital Monitoring with R, ΡΠ°ΡΡΠΊΠ°ΠΆΠΈΡΠ΅ ΠΎ Π½Π΅ΠΉ ΡΠ²ΠΎΠΈΠΌ Π΄ΡΡΠ·ΡΡΠΌ Π² ΡΠΎΡΠΈΠ°Π»ΡΠ½ΡΡ ΡΠ΅ΡΡΡ :
