Statistical Methods for Hospital Monitoring with R
- ISBN-10
- 1118639170
- ISBN-13
- 9781118639177
- Category
- Medical
- Pages
- 432
- Language
- English
- Published
- 2013-06-27
- Publisher
- John Wiley & Sons
- Authors
- Michael Whitby, Anthony Morton, Kerrie L. Mengersen
Description
Hospitals monitoring is becoming more complex and is increasingboth because staff want their data analysed and because ofincreasing mandated surveillance. This book provides a suiteof functions in R, enabling scientists and data analysts working ininfection management and quality improvement departments inhospitals, to analyse their often non-independent data which isfrequently in the form of trended, over-dispersed and sometimesauto-correlated time series; this is often difficult to analyseusing standard office software. This book provides much-needed guidance on data analysis using Rfor the growing number of scientists in hospital departments whoare responsible for producing reports, and who may have limitedstatistical expertise. This book explores data analysis using R and is aimed atscientists in hospital departments who are responsible forproducing reports, and who are involved in improving safety.Professionals working in the healthcare quality and safetycommunity will also find this book of interest Statistical Methods for Hospital Monitoring with R: Provides functions to perform quality improvement and infectionmanagement data analysis. Explores the characteristics of complex systems, such asself-organisation and emergent behaviour, along with theirimplications for such activities as root-cause analysis and thePareto principle that seek few key causes of adverse events. Provides a summary of key non-statistical aspects of hospitalsafety and easy to use functions. Provides R scripts in an accompanying web site enablinganalyses to be performed by the reader ahref="http://www.wiley.com/go/hospital_monitoring"http://www.wiley.com/go/hospital_monitoring/a Covers issues that will be of increasing importance in thefuture, such as, generalised additive models, and complex systems,networks and power laws.
Get the book
Similar books
-
Statistical Methods for Healthcare Performance Monitoring
By Alex Bottle, Paul AylinTheir report concludes with ten key points for safety measurement and monitoring. The first is that a single measure of safety is a fantasy; given that safety is a dimension of quality, the same can be said regarding quality.
-
Statistical Methods for Evaluating Safety in Medical Product Development
By A. Lawrence Gould... A Bayesian Approach Pintilie – Competing Risks: A Practical Perspective Senn – Cross-over Trials in Clinical Research ... Abrams and Myles – Bayesian Approaches to Clinical Trials and Health-Care Evaluation Walters – Quality of Life ...
-
Data Monitoring Committees in Clinical Trials: A Practical Perspective
By David L. DeMets, Susan S. Ellenberg, Thomas R. Fleming... and Inference: With Examples in R, SAS and ADMB Molenberghs and Kenward – Missing Data in Clinical Studies Morton, Mengersen, Playford and Whitby – Statistical Methods for Hospital Monitoring with R O'Hagan, Buck, Daneshkhah, Eiser, ...
-
Crossover Designs: Testing, Estimation, and Sample Size
By Kung-Jong LuiMolenberghs and Kenward – Missing Data in Clinical Studies Morton, Mengersen, Playford, and Whitby – Statistical Methods for Hospital Monitoring with R O'Hagan, Buck, Daneshkhah, Eiser, Garthwaite, Jenkinson, Oakley, ...
-
Modern Industrial Statistics: with applications in R, MINITAB and JMP
By Ron S. Kenett, Shelemyahu Zacks, Daniele Ambertiwith applications in R, MINITAB and JMP Shelemyahu Zacks, Ron S. Kenett, Daniele Amberti ... Mengersen, Playford and Whitby—Statistical Methods for Hospital Monitoring with R O'Hagan, Buck, Daneshkhah, Eiser, Garthwaite, Jenkinson, ...
-
Bayesian Networks for Probabilistic Inference and Decision Analysis in Forensic Science
By Colin Aitken, Franco Taroni, Silvia BozzaHitchcock C (2012) Probabilistic causation In Stanford Encyclopedia of Philosophy (ed. ... Horwich P (1982) Probability and Evidence. ... Kadane JB and Schum DA (1996) A Probabilistic Analysis of the Sacco and Vanzetti Evidence.
-
Clinical Trials with Missing Data: A Guide for Practitioners
By Michael O'Kelly, Bohdana RatitchThis book provides practical guidance for statisticians, clinicians, and researchers involved in clinical trials in the biopharmaceutical industry, medical and public health organisations.
-
How to Design, Analyse and Report Cluster Randomised Trials in Medicine and Health Related Research
By Stephen J. Walters, Michael J. CampbellIn particular, techniques such a cognitive behavioural therapy and motivational interviewing (Rollnick, Miller and Butler, 2007) are widely used. For example, in motivational interviewing, the main points are that the patient is DESIGN ...
-
Weight-of-Evidence for Forensic DNA Profiles
By David J. Balding, Christopher D. SteeleWC Thompson. Are juries competent to evaluate statistical evidence? Law and Contemporary Problems, 52: 9–41, 1989. WC Thompson and EL Schumann. Interpretation of statistical evidence in criminal trials: the prosecutor's fallacy and the ...
-
Applied Mixed Models in Medicine
By Helen Brown, Robin PrescottThis third edition of Brown and Prescott’s groundbreaking text provides an update on the latest developments, and includes guidance on the use of current SAS techniques across a wide range of applications.