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Home > Education > Mathematics > Statistical Development of Quality in Medicine-eBook
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Statistical Development of Quality in Medicine
 
 
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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.

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Title of ebook: Statistical Development of Quality in Medicine
ISBN: 9780470515891
Publisher: John Wiley & Sons, Inc.
Internet download file size: 2441 kb
Pages: 280
Released online for download: 06-13-2007
Author of eBook: Winkel, Per
Author of eBook: Zhang, Nien Fan


Statistical Development of Quality in Medicine



Chapter One

Theory of Statistical Process Control

The most important tool in statistical process control is the control chart. Shewhart developed the first type of chart during the 1920s. One of the most commonly used Shewhart charts is the [bar.X] chart. In the following for illustration, we will use this chart. However, the principles reviewed may be broadened without much effort to include control charts in general.

Originally control charts were developed in order to solve industrial problems. We will start with pharmaceutical examples followed by applications within the health care sector. The analogies and differences between industrial and healthcare problems are also discussed.

1.1 STATISTICAL FOUNDATION OF CONTROL CHARTS

To characterise a process, products produced by the process may be sampled. A pr ... read full excerpt from Statistical Development of Quality in Medicine ebook





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