An Introduction to Medical Statistics
Now in its Fourth Edition, An Introduction to Medical Statistics continues to be a 'must-have' textbook for anyone who needs a clear logical guide to the subject. Written in an easy-to-understand style and packed with real life examples, the text clearly explains the statistical principles used in the medical literature. Taking readers through the common statistical methods seen in published research and guidelines, the text focuses on how to interpret and analyse statistics for clinical practice. Using extracts from real studies, the author illustrates how data can be employed correctly and incorrectly in medical research helping readers to evaluate the statistics they encounter and appropriately implement findings in clinical practice. End of chapter exercises, case studies and multiple choice questions help readers to apply their learning and develop their own interpretative skills. This thoroughly revised edition includes new chapters on meta-analysis, missing data, and survival analysis.
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An Introduction to Medical Statistics
Now in its Fourth Edition, An Introduction to Medical Statistics continues to be a 'must-have' textbook for anyone who needs a clear logical guide to the subject. Written in an easy-to-understand style and packed with real life examples, the text clearly explains the statistical principles used in the medical literature. Taking readers through the common statistical methods seen in published research and guidelines, the text focuses on how to interpret and analyse statistics for clinical practice. Using extracts from real studies, the author illustrates how data can be employed correctly and incorrectly in medical research helping readers to evaluate the statistics they encounter and appropriately implement findings in clinical practice. End of chapter exercises, case studies and multiple choice questions help readers to apply their learning and develop their own interpretative skills. This thoroughly revised edition includes new chapters on meta-analysis, missing data, and survival analysis.
35.99 In Stock
An Introduction to Medical Statistics

An Introduction to Medical Statistics

by Martin Bland
An Introduction to Medical Statistics

An Introduction to Medical Statistics

by Martin Bland

eBook

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Overview

Now in its Fourth Edition, An Introduction to Medical Statistics continues to be a 'must-have' textbook for anyone who needs a clear logical guide to the subject. Written in an easy-to-understand style and packed with real life examples, the text clearly explains the statistical principles used in the medical literature. Taking readers through the common statistical methods seen in published research and guidelines, the text focuses on how to interpret and analyse statistics for clinical practice. Using extracts from real studies, the author illustrates how data can be employed correctly and incorrectly in medical research helping readers to evaluate the statistics they encounter and appropriately implement findings in clinical practice. End of chapter exercises, case studies and multiple choice questions help readers to apply their learning and develop their own interpretative skills. This thoroughly revised edition includes new chapters on meta-analysis, missing data, and survival analysis.

Product Details

ISBN-13: 9780192518392
Publisher: OUP Oxford
Publication date: 07/23/2015
Sold by: Barnes & Noble
Format: eBook
File size: 14 MB
Note: This product may take a few minutes to download.

About the Author

J. Martin Bland, Professor of Health Statistics, Department of Health Sciences, University of York, UK

Table of Contents

1. Introduction2. The Design of Experiments3. Sampling and observational studies4. Summarizing data5. Presenting data6. Probability7. The Normal distribution8. Estimation9. Significance tests10. Comparing the means of small samples11. Regression and correlation12. Methods based on rank order13. The analysis of cross-tabulations14. Choosing the statistical method15. Multifactorial methods16. Time to event data17. Meta-analysis18. Determination of sample size19. Missing data20. Clinical measurement21. Mortality statistics and population structure22. The Bayesian approach23. Appendix A Suggested answers to exercises
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