Making Sense of Medical Statistics
eBook - PDF

Making Sense of Medical Statistics

A Bite Sized Visual Guide

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

Making Sense of Medical Statistics

A Bite Sized Visual Guide

About this book

Do you want to know what a parametric test is and when not to perform one? Do you get confused between odds ratios and relative risks? Want to understand the difference between sensitivity and specificity? Would like to find out what the fuss is about Bayes' theorem? Then this book is for you! Physicians need to understand the principles behind medical statistics. They don't need to learn the formula. The software knows it already! This book explains the fundamental concepts of medical statistics so that the learner will become confident in performing the most commonly used statistical tests. Each chapter is rich in anecdotes, illustrations, questions, and answers. Not enough? There is more material online with links to free statistical software, webpages, multimedia content, a practice dataset to get hands-on with data analysis, and a Single Best Answer questionnaire for the exam.

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Yes, you can access Making Sense of Medical Statistics by Munier Hossain 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

Publisher
Cambridge University Press
Year
2021
Print ISBN
9781108978156
eBook ISBN
9781108976602
Topic
Medicine
Subtopic
Epidemiology

Table of contents

  1. Cover
  2. Half-title
  3. Endorsement
  4. Title page
  5. Copyright information
  6. Dedication
  7. Contents
  8. Preface
  9. Acknowledgements
  10. How to Get the Most Out of This Book
  11. 1. Medicine and Numbers: Where Is the Connection?
  12. 2. Measuring a Variable: Why Eye Colour and Height Are Different
  13. 3. Summarising Data: Communicating Easily
  14. 4. Why Average and Range Is Not Always Enough: Standard Deviation and Standard Error
  15. 5. The Normal Distribution: What’s So 'Normal' About It?
  16. 6. Confidence Interval: What Is Your Guesstimate?
  17. 7. Innocent Until Proven Guilty! The Null Hypothesis
  18. 8. Errors in Hypothesis Tests: Learn Your α From Your ß
  19. 9. The Randomised Controlled Trial: Why Does It Have To Be Random?
  20. 10. Choosing a Statistical Test: To ‘t’ or Not to ‘t’?
  21. 11. Finding the Odd One Out: The ANOVA Test
  22. 12. Categorically Different? The Chi-Squared Test
  23. 13. If the Line Fits: Correlation and Linear Regression
  24. 14. Hindsight is 20/20: Logistic Regression
  25. 15. Don’t Risk the Odds: Risk versus Odds as the Outcome Measure
  26. 16. I Will Survive! Time to Event Data Analysis
  27. 17. High Ceiling or Low Threshold? Accuracy of a Diagnostic Test
  28. 18. Apples or Oranges? Meta-Analysis of Selected Studies
  29. 19. Lies, Damned Lies and Statistics: Untangling Facts from Fiction!
  30. Glossary
  31. Index