Evidence-Based Diagnosis
eBook - PDF

Evidence-Based Diagnosis

An Introduction to Clinical Epidemiology

  1. English
  2. PDF
  3. Available on iOS & Android
eBook - PDF

Evidence-Based Diagnosis

An Introduction to Clinical Epidemiology

About this book

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.

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Yes, you can access Evidence-Based Diagnosis by Thomas B. Newman,Michael A. Kohn in PDF and/or ePUB format, as well as other popular books in Medicine & Epidemiology. We have over one million books available in our catalogue for you to explore.

Information

Edition
2
Subtopic
Epidemiology

Table of contents

  1. Cover
  2. Half-title
  3. Title page
  4. Copyright information
  5. Dedication
  6. Contents
  7. Preface
  8. Acknowledgments
  9. Chapter 1 Introduction: Understanding Diagnosis and Evidence-Based Diagnosis
  10. Chapter 2 Dichotomous Tests
  11. Chapter 3 Multilevel and Continuous Tests
  12. Chapter 4 Critical Appraisal of Studies of Diagnostic Test Accuracy
  13. Chapter 5 Reliability and Measurement Error
  14. Chapter 6 Risk Predictions
  15. Chapter 7 Multiple Tests and Multivariable Risk Models
  16. Chapter 8 Quantifying Treatment Effects Using Randomized Trials
  17. Chapter 9 Alternatives to Randomized Trials for Estimating Treatment Effects
  18. Chapter 10 Screening Tests
  19. Chapter 11 Understanding P-Values and Confidence Intervals
  20. Chapter 12 Challenges for Evidence-Based Diagnosis
  21. Answers to Problems
  22. Index