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Statistical Development of Quality in Medicine Statistics in Practice 1st Edition by Per Winkel, Nien Fan Zhang ISBN 0470515899 9780470515891

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Statistical Development of Quality in Medicine Statistics in Practice 1st Edition Per Winkel Digital Instant Download

Author(s): Per Winkel, Nien Fan Zhang
ISBN(s): 9780470515891, 0470515899
Edition: 1
File Details: PDF, 2.02 MB
Year: 2007
Language: english
SKU: EB-1939288 Category: Tags: ,

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Product details:

ISBN 10: 0470515899 
ISBN 13: 9780470515891
Author: Per Winkel, Nien Fan Zhang

The promotion of standards and guidelines to advance quality assurance and control is an integral part of the health care sector. Quantitative methods are needed to monitor, control and improve the quality of medical processes. Statistical Development of Quality in Medicine presents the statistical concepts behind the application of industrial quality control methods. Filled with numerous case studies and worked examples, the text enables the reader to choose the relevant control chart, to critically apply it, improve it if necessary, and monitor its stability. Furthermore, the reader is provided with the necessary background to critically assess the literature on the application of control charts and risk adjustment and to apply the findings. Contains a user-friendly introduction, setting out the necessary statistical concepts used in the field. Uses numerous real-life case studies from the literature and the authors’ own research as the backbone of the text. Provides a supplementary website featuring problems and answers drawn from the book, alongside examples in Statgraphics. The accessible style of Statistical Development of in Clinical Medicine invites a large readership. It is primarily aimed at health care officials, and personnel responsible for developing and controlling the quality of health care services. However, it is also ideal for statisticians working with health care problems, diagnostic and pharmaceutical companies, and graduate students of quality control.

Statistical Development of Quality in Medicine Statistics in Practice 1st Table of contents:

Part I: Control Charts
Theory of Statistical Process Control

1.1 Statistical foundation of control charts

1.2 Use of control charts

1.3 Design of control charts

1.4 Rational samples

1.5 Analysing the properties of a control chart

1.6 Checklists and Pareto charts

1.7 Clinical applications of control charts

1.8 Inappropriate changes of a process

References​

Shewhart Control Charts

2.1 Control charts for discrete data

2.2 Control charts for continuous data

2.3 Control charts for variable sample size

References​

Time-Weighted Control Charts

3.1 Shortcomings of Shewhart charts

3.2 Cumulative sum charts

3.3 Exponentially weighted moving average (EWMA) charts

References​

Control Charts for Autocorrelated Data

4.1 Time series analysis

4.2 Tests of independence of measurements

4.3 Control charts for autocorrelated data

4.4 Effect of choice of process standard deviation estimator

References​

Part II: Risk Adjustment
Tools for Risk Adjustment

5.1 Variables

5.2 Statistical models

5.3 Regression on continuous outcome measure

5.4 Logistic regression on binary data

5.5 Assessing the quality of a regression model

References​
WebMedBooks
+2
Barnes & Noble
+2
eBay
+2

Risk-Adjusted Control Charts

6.1 Risk adjustment

6.2 Risk-adjusted control charts

6.3 Comments

References​
Barnes & Noble
eBay
+2
Thư viện trực tuyến Wiley
+2
wiley-vch.de
+2

Risk-Adjusted Comparison of Healthcare Providers

7.1 Experimental adjustment

7.2 Statistical risk adjustment of observational data

7.3 Perils of risk adjusting observational data

7.4 Public report cards

References​
Barnes & Noble

Part III: Learning and Quality Assessment
Learning Curves

8.1 Assessing a single learning curve

8.2 Assessing multiple learning curves

References​
Barnes & Noble

Quality Assessment

9.1 Quality assessment in health care

9.2 Statistical methods for quality assessment

9.3 Case studies and applications

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Tags: Per Winkel, Nien Fan Zhang, Statistical Development, Medicine Statistics