Making sense of medical statistics / Munier Hossain, MBBS, FRCSGlag, FRCSG (Tr & Orth), PGCE, MSc (Orth Eng), MSc (Oxon), FHEA, Consultant Orthopaedic Surgeon, United Lincolnshire Hospitals NHS Trust ; illustrations and formatting by Inda Zubir B.Sc (Hons), M.Arch, RIBA III.

Format:

Book

Author/Creator:

Hossain, Munier, 1952- author.

Contributor:

ProQuest (Firm)

Series:

Cambridge medicine (Series)

Cambridge medicine

Language:

English

Subjects (All):

Medical statistics.

Physical Description:

1 online resource (xi, 188 pages) : digital, PDF file(s).

Edition:

First edition.

Place of Publication:

Cambridge : Cambridge University Press, 2021.

Summary:

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.

Contents:

Cover

Half-title

Endorsement

Title page

Copyright information

Dedication

Contents

Preface

Acknowledgements

How to Get the Most Out of This Book

1. Medicine and Numbers: Where Is the Connection?

2. Measuring a Variable: Why Eye Colour and Height Are Different

3. Summarising Data: Communicating Easily

4. Why Average and Range Is Not Always Enough: Standard Deviation and Standard Error

5. The Normal Distribution: What's So 'Normal' About It?

6. Confidence Interval: What Is Your Guesstimate?

7. Innocent Until Proven Guilty! The Null Hypothesis

8. Errors in Hypothesis Tests: Learn Your α From Your ß

9. The Randomised Controlled Trial: Why Does It Have To Be Random?

10. Choosing a Statistical Test: To 't' or Not to 't'?

11. Finding the Odd One Out: The ANOVA Test

12. Categorically Different? The Chi-Squared Test

13. If the Line Fits: Correlation and Linear Regression

14. Hindsight is 20/20: Logistic Regression

15. Don't Risk the Odds: Risk versus Odds as the Outcome Measure

16. I Will Survive! Time to Event Data Analysis

17. High Ceiling or Low Threshold? Accuracy of a Diagnostic Test

18. Apples or Oranges? Meta-Analysis of Selected Studies

19. Lies, Damned Lies and Statistics: Untangling Facts from Fiction!

Glossary

Index.

Notes:

Title from publisher's bibliographic system (viewed on 30 Sep 2021).

ISBN:

9781108976602

1108976603

9781108973663

1108973663