Download e-book for kindle: Statistical Methods in Diagnostic Medicine, Second Edition by Xiao?Hua Zhou, Nancy A. Obuchowski, Donna K. McClish(auth.)

By Xiao?Hua Zhou, Nancy A. Obuchowski, Donna K. McClish(auth.)

ISBN-10: 0470183144

ISBN-13: 9780470183144

ISBN-10: 0470906510

ISBN-13: 9780470906514

Compliment for the 1st Edition

" . . . the e-book is a worthwhile addition to the literature within the box, serving as a much-needed consultant for either clinicians and complicated students."?Zentralblatt MATH

a brand new variation of the state-of-the-art advisor to diagnostic assessments in clinical research

lately, a large amount of study has interested in evolving tools for designing and interpreting diagnostic accuracy reports. Statistical equipment in Diagnostic drugs, moment version keeps to supply a entire method of the subject, guiding readers in the course of the useful practices for knowing those experiences and generalizing the implications to sufferer populations.

Following a easy creation to measuring try accuracy and examine layout, the authors effectively outline numerous measures of diagnostic accuracy, describe recommendations for designing diagnostic accuracy experiences, and current key statistical tools for estimating and evaluating try out accuracy. themes new to the second one version include:

  • tools for checks designed to notice and find lesions

  • concepts for covariate-adjustment

  • equipment for estimating and evaluating predictive values and pattern measurement calculations

  • Correcting strategies for verification and imperfect average biases

  • pattern measurement calculation for a number of reader reports while pilot facts are available

  • up to date meta-analysis equipment, now incorporating random effects

3 case experiences completely exhibit a few of the questions and statistical matters that come up in diagnostic medication, with all linked information supplied in designated appendices. A comparable website gains Fortran, SAS, and R software program applications in order that readers can behavior their very own analyses.

Statistical equipment in Diagnostic drugs, moment version is a wonderful complement for biostatistics classes on the graduate point. It additionally serves as a important reference for clinicians and researchers operating within the fields of medication, epidemiology, and biostatistics.

Content:
Chapter 1 advent (pages 1–11):
Chapter 2 Measures of Diagnostic Accuracy (pages 13–55):
Chapter three layout of Diagnostic Accuracy reports (pages 57–101):
Chapter four Estimation and speculation checking out in one pattern (pages 103–164):
Chapter five evaluating the Accuracy of 2 Diagnostic assessments (pages 165–192):
Chapter 6 pattern measurement Calculations (pages 193–229):
Chapter 7 advent to Meta?analysis for Diagnostic Accuracy reports (pages 231–260):
Chapter eight Regression research for self sufficient ROC information (pages 261–296):
Chapter nine research of a number of Reader and/or a number of try out reports (pages 297–328):
Chapter 10 equipment for Correcting Verification Bias (pages 329–387):
Chapter eleven equipment for Correcting Imperfect premiere Bias (pages 389–433):
Chapter 12 Statistical research for Meta?analysis (pages 435–448):

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Additional resources for Statistical Methods in Diagnostic Medicine, Second Edition

Sample text

Investigators sometimes draw incorrect conclusions about a new test's diagnostic accuracy because it agrees well with a conventional test; however, what if the new and conventional tests do not agree? We cannot simply conclude that the new test has inferior accuracy. In 6 INTRODUCTION fact, a new test with superior accuracy will definitely disagree sometimes with the conventional test. Similarly, the two tests may have the same accuracy but make mistakes on different patients, resulting in poor agreement.

E. P ( D = 0 ) ) , P(TP or TN) = ( # correct decisions)/N = SexP{D = l) + SpxP(D = 0). T h e strength of this measure of accuracy is its simple computation. However, this measure has many limitations, as will be illustrated by several examples. First, consider an 1885 editorial by Gilbert (1885) in which he writes a b o u t the extremely high "accuracy" of a fellow meteorologist in predicting tornadoes. Gilbert pointed out t h a t because of the rarity of this meteorological event, high accuracy can be achieved simply by "calling" for "no tornado" every day.

E. e. e. e. healthy volunteers may have very different enzyme levels than sick patients without pancreatitis who might undergo the test). In Chapter 2, we discuss factors involved in determining optimal cutpoints for diagnostic tests; in Chapter 4, we discuss methods of finding optimal cutpoints and estimating diagnostic errors associated with them. Another common misperception in diagnostic test studies is the notion that a rigorous assessment of a patient's true condition - with the exclusion of patients for whom a less rigorous assessment was made - allows for a scientifically sound study.

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Statistical Methods in Diagnostic Medicine, Second Edition by Xiao?Hua Zhou, Nancy A. Obuchowski, Donna K. McClish(auth.)


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