Munier Hossain

Making Sense of Medical Statistics (eBook, PDF)

A Bite Sized Visual Guide

• Format: PDF

Produktbeschreibung

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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Produktdetails

• Verlag: Cambridge University Press
• Erscheinungstermin: 31. August 2021
• Englisch
• ISBN-13: 9781108976602
• Artikelnr.: 66188048

Autorenporträt

Munier Hossain is a Consultant Orthopaedic Surgeon with an interest in medical education. He is a Fellow of the Higher Education Academy, member of the editorial board of Bone and Joint Journal 360, and a primary editor of the Bone and Joint Journal. He holds an MSc in evidence-based healthcare from the University of Oxford, UK. He has been teaching statistics and evidence-based healthcare for over a decade and has authored several book chapters on medical statistics for trainee doctors.

Inhaltsangabe

Preface
Acknowledgements
How to get the best out of this book
1. Medicine and numbers: what is the connection?
2. Measuring a variable: what is the difference between eye colour and height
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 ¿ from your ß
9. The randomized 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 vs 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
Appendix 1. Are you ready to test yourself? Single Best Answer questionnaire
Appendix 2. Software and practice problems
Appendix 3. Practice database
Appendix 4. References and further reading
Appendix 5. Further resources.