Medical Statistics / Edition 2

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Overview

This introductory textbook presents statistics with a clarity and logic that will demystify the subject, while providing a comprehensive coverage of advanced as well as basic methods. The format is clear with highlighted formulae, introductory chapters summaries, worked examples, and a chart to show which procedures to use when. The Second Edition has been updated to take account of the increasing use of computers and computer packages and two new chapters have been added on logistic regression and meta-analysis.

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Editorial Reviews

From the Publisher
"This book is the statistics book of choice for anyone wanting a proper appreciation of the use and application of statistics in health care. I highly recommend this book." (Journal of Renal Nursing, 6 November 2011)

the breadth of coverage of the book is excellent ... a rather different approach to teaching medical statistics."
Statistics in Medicine

"The most readable book that I have yet discovered in the topic"
Community Health Studies

"This book is statistically correct. That is enough to distinguish it from most of its competitors."
British Medical Journal

Published Reviews of the 2th Edition

"One word which definitely describes this book is "comprehensive". Anything you ever wanted to know about medical statistics is covered in immense detail."

4th Year Medical Student
Liverpool Medical School
Sphincter, December 2003

"This is a comprehensive book that includes an impressive range of topics often omitted from books aimed at non-statisticians.

...a resource that makes it easy for a beginner to comprehend a wide range of statistical concepts and tools. Essential Medical Statistics fills an important niche by providing practical information on a comprehensive scope of modern statistical methods and, at the same time, communicating on the same wavelengths as physicians and other nonstatisticians."

Teaching of Statistics in the Health Sciences, Section of the American Statistical Association, Spring 2004

"The book is laid out in a logical fashion and includes all of the tables you need to find p-values once you have performed a test. It covers simple statistical methods, such as how to calculate the mean and standard deviation, progressing to linear and multiple regression, Poisson regression and measures of impact and association.

...I would recommend using it to anyone who is still struggling with statistics."

North Wing, Sheffield Medics Magazine, Winter 2004

"The book is generally well laid out, the indexing is well structured and a comprehensive bibliography is provided. The topics are easy to locate and include practical examples. These attributes make it a useful text for both consulting and teaching purposes."
Statistics in Medicine, Vol 24, Number 5, March 2005

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Product Details

  • ISBN-13: 9780865428713
  • Publisher: Wiley
  • Publication date: 7/15/2002
  • Series: Essentials Series, #11
  • Edition description: REV
  • Edition number: 2
  • Pages: 512
  • Sales rank: 1,477,152
  • Product dimensions: 6.80 (w) x 9.65 (h) x 0.82 (d)

Table of Contents

Part A. Basics.

1. Using this book.

2. Defining the data.

3. Displaying the data.

Part B. Analysis of numerical outcomes.

4. Means, Standard Deviations and Standard Errors.

5. The Normal Distribution.

6. Confidence Interval for a Mean.

7. Comparison of two means: confidence intervals, hypothesis tests and P-values.

8. Using P-values and confidence intervals to interpret the results of statistical analyses.

9. Comparison of means from several groups: analysis of variance.

10. Linear Regression and Correlation.

11. Multiple Regression.

12. Goodness of fit and regression diagnostics.

13. Transformations.

Part C. Analysis of binary outcomes.

14. Probability, risks and odds (of disease).

15. Proportions and the binomial distribution.

16. Comparing two proportions.

17. Chi-squared tests for 2 × 2 and larger contingency tables.

18. Controlling for confounding: stratification.

19. Logistic regression: comparing two or more exposure groups.

20. Logisitic regression: controlling for confounding and other extensions.

21. Matched studies.

Part D. Longitudinal studies: Analysis of rates and survival times.

22. Longitudinal studies, rates and the Poisson distribution.

23. Comparing rates.

24. Poisson regression.

25. Standardisation.

26. Survival analysis: displaying and comparing survival patterns.

27. Regression analysis of survival data.

Part E. Statistical modelling.

28. Likelihood.

29. Regression modelling.

30. Relaxing model assumptions.

31. Analysis of clustered data.

32. Systematic reviews and meta-analysis.

33. Bayesian statistics.

Part F. Study design, analysis and interpretation.

34. Linking analysis to study design: summary of methods.

35. Calculation of Required Sample Size.

36. Measurement error: assessment and implications.

37. Measures of association and impact.

38. Strategies for analysis.

APPENDIX: Statistical Tables.

Bibliography

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