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Evidence-Based Diagnosis: An Introduction to Clinical Epidemiology (2nd Edition)

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Download Evidence-Based Diagnosis: An Introduction to Clinical Epidemiology (2nd Edition) written by Thomas B. Newman, Michael A. Kohn in PDF format. This book is under the category Medicine and bearing the isbn/isbn13 number 1108436714/9781108436717. You may reffer the table below for additional details of the book. We do NOT provide access codes, we provide eBooks ONLY. Instant access will be granted as soon as you complete the payment.

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Specifications

book-author

Thomas B. Newman, Michael A. Kohn

publisher

Cambridge University Press; 2nd edition

file-type

PDF

pages

405 pages

language

English

asin

B0868PXKW7

isbn10

1108436714

isbn13

9781108436717


Book Description

Medicine is becoming increasingly reliant on prognostic; diagnostic; 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. Evidence-Based Diagnosis: An Introduction to Clinical Epidemiology 2nd edition (PDF) provides 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 is rigorously explained using simple and informative language. Topics covered include the reliability; diagnostic process; 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 ebook; complementing the textual explanation. Based on decades of experience teaching in a clinical research training program; this fully updated 2nd edition is an essential guide for anyone looking to develop; select; or market medical tests.

NOTE: Only includes the ebook Evidence-Based Diagnosis: An Introduction to Clinical Epidemiology 2e in PDF.

 

book-author

Thomas B. Newman, Michael A. Kohn

publisher

Cambridge University Press; 2nd edition

file-type

PDF

pages

405 pages

language

English

asin

B0868PXKW7

isbn10

1108436714

isbn13

9781108436717

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