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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