Product Detail
Statistical Methods in Diagnostic Medicine
Zhou, Xiao-Hua PhD
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Available: 0
List Price:$148.95
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Book Information
Edition:
2nd
Publisher:
Wiley, John & Sons, Inc.
ISBN:
0-470-18314-4 (0470183144)
ISBN-13:
978-0-470-18314-4 (9780470183144)
New Edition:
1-394-22021-9
Binding:
Hardcover
Copyright:
2011
Publish Date:
03/11
Weight:
2.20 Lbs.
Pages:
592
Carton Quantity:
14
Subject Class:
I-M (Internal Medicine)
Remarks:
A New Edition of this title is due 11/24
Return Policy:
Returns accepted up to 12 months provided no other recalls or return restrictions apply.
Table Of Contents:
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Contributing Authors:
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ProQuest Ebook Central:
Available in ProQuest Ebook Centralâ„¢
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Class Specifications
ISSN Series:
Wiley Series in Probability and Statistics
Discipline:
Practice Med
Subject Definition:
Diagnostic Techniques and Procedures; Data Interpretation
NLM Class:
WB 141
LC Class:
R853
Abstract:
In recent years, a considerable amount of research has focused on evolving methods for designing and analyzing diagnostic accuracy studies. Statistical Methods in Diagnostic Medicine, Second Edition continues to provide a comprehensive approach to the topic, guiding readers through the necessary practices for understanding these studies and generalizing the results to patient populations. Following a basic introduction to measuring test accuracy and study design, the authors successfully define various measures of diagnostic accuracy, describe strategies for designing diagnostic accuracy studies, and present key statistical methods for estimating and comparing test accuracy. Three case studies thoroughly showcase some of the questions and statistical issues that arise in diagnostic medicine, with all associated data provided in detailed appendices. A related web site features Fortran, SAS, and R software packages so that readers can conduct their own analyses. Statistical Methods in Diagnostic Medicine, Second Edition is an excellent supplement for biostatistics courses at the graduate level. It also serves as a valuable reference for clinicians and researchers working in the fields of medicine, epidemiology, and biostatistics.
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