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Introducing a
book written especially for laboratory workers, clinicians and healthcare
professionals and the perfect companion to Analyse-it
Clinical Laboratory. Unlike most statistics books,
this book makes sparing use of equations.
Instead the book assumes the reader has access to statistical software, and
concentrates on explaining the background, usage, and interpretation of statistics in
clinical research. Over 100 diagrams and examples are included to demonstrate
real-world scenarios, outcomes, and their interpretation.
Whatever your level of experience, this book is an absolute must have, and comes highly
recommended by all of us at Analyse-it Software, Ltd.
B O O K C O N T E N T S
The book is divided into four chapters:
- Chapter 1: Statistical questions and kinds of data.
Describes the different kinds of data, the statistical analyses that can be applied,
and how the results of analysis are expressed.
- Chapter 2: Analytical methods: control and comparison.
Deals with method comparison studies, inaccuracy, imprecision, bias, detection limits,
analytical goals, and other aspects of analytical methods used in laboratory medicine.
Chapter closes explaining quantitative and qualitative method comparison
procedures.
- Chapter 3: Data for diagnosis and monitoring.
Describes how to obtain and use data for diagnosis and for monitoring patients.
Explains how diagnostic test performance is measured, strategies for combining tests, and
how test results are used in clinical practice.
- Chapter 4: Medical research: study design, analysis and
reporting.
Deals with the classic types of study design used in medical research, including:
Cohort studies, Case control studies, Method comparison, Diagnostic test evaluation, Drug
trials, Clinical trials, and more. Also covers how a study should be conducted, how
the findings can be statistically examined, and how the results should be reported.
The book also includes brief biographies of five scientists who made a major
contribution to medical statistics – Johan Gauss, R A Fisher, Edwards Deming, Austin
Bradford Hill, and Archie Cochrane.
Statistical procedures covered include:
� descriptive statistics � t-tests � ANOVA � F-tests
� Fisher � McNemar � Chi-Square � correlation
� Linear
regression
� Altman-Bland bias plots
� Deming and Passing-Bablok regression
� Reference ranges � ROC curves
� Diagnostic screening
� Imprecision
A B O U T T H E A U T H O R S
Richard Jones, MA, DM,
MRCP,
MRCPath is Senior Lecturer in Chemical Pathology at the University of Leeds and
Honorary Consultant Pathologist to the United Leeds Hospital Trust.
His research interests are in two mains areas, metabolic medicine and
computing. He chairs the Information Technology Group of the Association of Clinical Biochemists and has been
involved in a number of international informatics projects. |
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Brian Payne, MD, PhD, FRCPath
was, until his retirement in 1995, Consultant Chemical Pathologist to St James's
University Hospital, Leeds and Senior Clinical Lecturer in Chemical Pathology at the
University of Leeds.
His main interests are calcium metabolism and the interpretation of
laboratory data.
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H O W T O O R D E R
The cost of the book is �21 plus �2.95 postage (plus �4.50 outside Europe for
Airmail). For more information about the book and to purchase copy, please visit http://www.leeds.ac.uk/acb/ventpub/pub7.html.
For similar publications visit ACB Venture
Publications, a division of the Association of
Clinical Biochemists.
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