This book is for anyone with a beginner's interest in medical statistics. It introduces the reader to the key concepts of medical statistics with colour illustrations, worked examples and anecdotes. The chapters are bite-sized with the busy clinician in mind but the book also includes additional material for advanced readers.
This book is for anyone with a beginner's interest in medical statistics. It introduces the reader to the key concepts of medical statistics with colour illustrations, worked examples and anecdotes. The chapters are bite-sized with the busy clinician in mind but the book also includes additional material for advanced readers.
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.
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.
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