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Synopsis
Explains the mathematics involved in understanding and choosing an array of diagnostic and prognostic tests, in order to improve treatment.
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About the Authors
Thomas B. Newman is the Professor Emeritus of Epidemiology & Biostatistics and Pediatrics at the University of California San Francisco, USA.
Michael A. Kohn is a Professor of Epidemiology & Biostatistics at the University of California San Francisco, USA.
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Evidence-Based Diagnosis: An Introduction to Clinical Epidemiology
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Cambridge University Press, 2020
ISBN 10: 1108436714
ISBN 13: 9781108436717
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Evidence Based Diagnosis
Published by
Cambridge University Press, 2020
ISBN 10: 1108436714
ISBN 13: 9781108436717
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Evidence-Based Diagnosis: An Introduction to Clinical Epidemiology
Published by
Cambridge University Press, 2020
ISBN 10: 1108436714
ISBN 13: 9781108436717
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Condition: acceptable. This book is in acceptable condition and may have highlighting and or writing throughout. The actual cover image may not match the stock photo, dust jacket may be damaged or missing. Book may show internal and or external wear on spine or cover and may be slightly skewed or have creased pages. This is a used book so codes may be invalid or accompanying media may be missing. May be an Ex library book with stickers and stamps. Seller Inventory # GBV.1108436714.A
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Evidence-Based Diagnosis (Paperback)
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Cambridge University Press, Cambridge, 2020
ISBN 10: 1108436714
ISBN 13: 9781108436717
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Seller: Grand Eagle Retail, Bensenville, IL, U.S.A.
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Paperback. Condition: new. Paperback. Medicine is becoming increasingly reliant on diagnostic, prognostic and screening tests for the successful treatment of patients. With new tests being developed all the time, a more informed understanding of the benefits and drawbacks of these tests is crucial. Providing readers with the tools needed to evaluate and interpret these tests, numerous real-world examples demonstrate the practical application and relevance of the material. The mathematics involved are rigorously explained using simple and informative language. Topics covered include the diagnostic process, reliability and accuracy of tests, and quantifying treatment benefits using randomized trials, amongst others. Engaging illustrations act as visual representations of the concepts discussed in the book, complementing the textual explanation. Based on decades of experience teaching in a clinical research training program, this fully updated second edition is an essential guide for anyone looking to select, develop or market medical tests. A rigorous yet engaging guide to understanding and choosing a range of diagnostic and prognostic tests. Topics explored include the diagnostic process, the reliability and accuracy of different tests and quantifying treatment benefits using randomized trails. Numerous worked examples and problems based on real situations support readers' learning. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9781108436717
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EVIDENCE-BASED DIAGNOSIS: AN INTRODUCTION TO CLINICAL EPIDEMIOLOGY
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Cambridge University Press, 2020
ISBN 10: 1108436714
ISBN 13: 9781108436717
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EVIDENCE-BASED DIAGNOSIS: AN INTRODUCTION TO CLINICAL EPIDEMIOLOGY
Published by
Cambridge University Press, 2020
ISBN 10: 1108436714
ISBN 13: 9781108436717
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Evidence-Based Diagnosis: An Introduction to Clinical Epidemiology
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ISBN 10: 1108436714
ISBN 13: 9781108436717
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Evidence Based Diagnosis
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Cambridge University Press, 2020
ISBN 10: 1108436714
ISBN 13: 9781108436717
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Evidence-Based Diagnosis : An Introduction to Clinical Epidemiology
Published by
Cambridge University Press, 2020
ISBN 10: 1108436714
ISBN 13: 9781108436717
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Evidence-Based Diagnosis: An Introduction to Clinical Epidemiology
Published by
Cambridge University Press, 2020
ISBN 10: 1108436714
ISBN 13: 9781108436717
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