Evidence Based Diagnosis 2nd Edition by Thomas B Newman,Michael A Kohn ISBN 1108436714 978-1108436717

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.

Table of contents:

Preface ix
Acknowledgments x
1 Introduction: Understanding
Diagnosis and Evidence-Based
Diagnosis 1
2 Dichotomous Tests 8
3 Multilevel and Continuous Tests 47
4 Critical Appraisal of Studies of
Diagnostic Test Accuracy 75
5 Reliability and
Measurement Error 110
6 Risk Predictions 144
7 Multiple Tests and Multivariable
Risk Models 175
8 Quantifying Treatment Effects Using
Randomized Trials 205
9 Alternatives to Randomized Trials
for Estimating Treatment
Effects 231
10 Screening Tests 250
11 Understanding P-Values and
Confidence Intervals 280
12 Challenges for Evidence-Based
Diagnosis 303
Answers to Problems 318
Index 357