Statistical methods in diagnostic medicine /

"Praise for the First Edition " ... the book is a valuable addition to the literature in the field, serving as a much-needed guide for both clinicians and advanced students."--Zentralblatt MATH A new edition of the cutting-edge guide to diagnostic tests in medical research In recent y...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριος συγγραφέας: Zhou, Xiao-Hua
Συλλογικό Έργο: Electronic Book Collection, Wiley InterScience (Online service)
Άλλοι συγγραφείς: McClish, Donna K., Obuchowski, Nancy A.
Μορφή: Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Hoboken, N.J. : Wiley, ©2011.
Έκδοση:2nd ed.
Σειρά:Wiley series in probability and statistics.
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
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100 1 |a Zhou, Xiao-Hua. 
245 1 0 |a Statistical methods in diagnostic medicine /  |c Xiao-Hua Zhou, Nancy A. Obuchowski, Donna K. McClish. 
250 |a 2nd ed. 
260 |a Hoboken, N.J. :  |b Wiley,  |c ©2011. 
300 |a 1 online resource (xxx, 545 pages) :  |b illustrations. 
336 |a text  |b txt  |2 rdacontent 
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505 0 |a Basic Concepts and Methods. Introduction -- Measures of Diagnostic Accuracy -- Design of Diagnostic Accuracy Studies -- Estimation and Hypothesis Testing in a Single Sample -- Comparing the Accuracy of Two Diagnostic Tests -- Sample Size Calculations -- Introduction to Meta-analysis for Diagnostic Accuracy Studies -- Advanced Methods. Regression Analysis for Independent ROC Data -- Analysis of Multiple Reader and/or Multiple Test Studies -- Methods for Correcting Verification Bias -- Methods for Correcting Imperfect Gold Standard Bias -- Statistical Analysis for Meta-analysis -- Appendix A: Case Studies and Chapter 8 Data -- Appendix B: Jackknife and Bootstrap Methods of Estimating Variances and Confidence Intervals. 
504 |a Includes bibliographical references and index. 
520 |a "Praise for the First Edition " ... the book is a valuable addition to the literature in the field, serving as a much-needed guide for both clinicians and advanced students."--Zentralblatt MATH A new edition of the cutting-edge guide to diagnostic tests in medical research 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. Topics new to the Second Edition include: Methods for tests designed to detect and locate lesions Recommendations for covariate-adjustment Methods for estimating and comparing predictive values and sample sSample size calculation for multiple reader studies when pilot data are available Updated meta-analysis methods, now incorporating random effectsThree 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(r), 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"--Provided by publisher. 
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700 1 |a McClish, Donna K. 
700 1 |a Obuchowski, Nancy A. 
710 2 |a Electronic Book Collection. 
710 2 |a Wiley InterScience (Online service) 
776 0 8 |i Print version:  |a Zhou, Xiao-hua.  |t Statistical methods in diagnostic medicine.  |b 2nd ed.  |d Hoboken, N.J. : Wiley, ©2011  |z 9780470183144  |w (OCoLC)702604809 
830 0 |a Wiley series in probability and statistics. 
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