This work leads the reader through a number of self-contained topics, each covering a different aspect of medical statistics. The authors have provided a basic introduction to the underlying concepts of medical statistics and a guide to the most commonly-used statistical procedures.
In line with the other books in the At a Glance series, this excellent addition leads the reader through a number of self-contained topics, each covering a different aspect of medical statistics. The majority of these use the standard 'At a Glance' format of two pages per topic. The authors have provided a basic introduction to the underlying concepts of medical statistics and a guide to the most commonly used statistical procedures. Topics describing a statistical technique are accompanied by a worked example, using real data, illustrating its use. Where possible, the same data set has been used in more than one topic to reflect the reality of data analysis. Detailed and complex hand calculations have been avoided with a concentration on the interpretation of computer data analysis. Medical Statistics at a Glance is versatile in its use as an explanation, a revision summary and a long-term source of reference.
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"The more familiar I have become with this book, the more I appreciate the clear presentation and unthreatening prose. It is now a valuable compnaion to my formal statistics course."
International Journal of Epidemiology
"I heartily recommend it, especially to first years, but it's equally appropriate for an intercalated BSc or Postgraduate research. If statistics give you headaches - buy it. If statistics are all you think about - buy it."
"As one who generally has not got a clue when it comes to statistics, this is a book I would definitely recommend on the basis of accessibility."
Surgo: Glasgow University Medical School Gazette
"This book allows the student to teach himself and is a very good long-term source of reference." Cambridge Medicine - Jan 2001
"This book helped me a lot in refreshing ideas and was actually enjoyable to read. I am indebted to the book for being ale to complete the statistical analysis of data from my project." Cambridge Medicine
Table of Contents
Preface; Part I - Handling Data: 1. Types Of Data; 2. Data Entry; 3. Error Checking And Outliers; 4. Displaying Data Graphically5. Describing Data (1) - The 'Average'6. Describing Data (2) - The 'Spread'7. Theoretical Distributions (1) - The Normal Distribution8. Theoretical Distributions (2) - Other Distributions9. Transformations; Part II - Sampling And Estimation:; 10. Sampling And Sampling Distributions; 11. Confidence Intervals; Part III - Study Design: 12. Study Design I; 13. Study Design II; 14. Clinical Trials; 15. Cohort Studies; 16. Case-Control Studies; Part IV - Hypothesis Testing:; 17. Hypothesis Testing; 18. Errors In Hypothesis Testing; Part V - Basic Techniques For Analysing Data: Numerical Data:; 19. A Single Group; 20. Two Related Groups; 21. Two Unrelated Groups; 22. More Than Two Groups; Categorical Data:; 23. A Single Proportion; 24. Two Proportions; 25. More Than Two Categories; Regression And Correlation:; 26. Correlation; 27. The Theory Of Linear Regression; 28. Performing A Linear Regression Analysis; 29. Multiple Linear Regression; 30. Polynomial And Logistic Regression; 31. Statistical Modelling; Important Considerations: 32. Checking Assumptions; 33. Sample Size Calculations; 34. Presenting Results; Additional Topics:; 35. Diagnostic Tools; 36. Assessing Agreement; 37. Evidence-Based Medicine; 38. Systematic Reviews And Meta-Analysis; 39. Methods For Repeated Measures; 40. Time Series; 41. Survival Analysis; 42. Bayesian Methods; Appendices: A Statistical Tables; B Altman's Nomogram For Sample Size Calculations; C Typical Computer Output; D Glossary Of Terms; Index
Medical Statistics at a Glance by Aviva Petrie
Used - Well Read
John Wiley and Sons Ltd
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