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Bowers, David
Medical Statistics from Scratch
An Introduction for Health Professionals

2. Edition February 2008
46.90 Euro
2008. 300 Pages, Softcover
ISBN 978-0-470-51301-9 - John Wiley & Sons




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Short description
Responding to the need for elementary textbooks in the area of medical statistics, Medical Statistics from Scratch, Second Edition takes on an informal style to appeal to the reader whose first interest is probably not medical statistics. The level of mathematics is kept to a minimum to make the material accessible to the mathematically unsophisticated reader, without detracting from the breadth of high quality content. Relevance is achieved by the inclusion of many illustrative cases in every chapter, drawn from the current literature. The new edition is extensively revised and benefits from a fresh presentation.

From the contents
Preface to the 1st Edition.

Preface to the 2nd Edition.

Introduction.

I Some fundamental stuff.

1 First things first - the nature of data.

II Descriptive statistics.

2 Describing data with tables.

3 Describing data with charts.

4 Describing data from its distributional shape Learning objectives.

5 Describing data with numeric summary values.

III Getting the data.

6 Doing it right first time - designing a study Learning objectives.

IV From little to large - statistical inference.

7 From samples to populations - making inferences.

8 Probability, risk and odds

V The informed guess - confidence interval estimation.

9 Estimating the value of a single population parameter - the idea of confidence intervals.

10 Estimating the differences between two population parameters.

11 Estimating the ratio of two population parameters.

VI Putting it to the test.

12 Testing hypotheses about the difference between two population parameters.

13 Testing hypotheses about the ratio of two population parameters.

14 Testing hypotheses about the equality of two or more proportions.

VII Getting up close.

15 Measuring the association between two variables.

16 Measuring the agreement between two variables.

VIII Getting into a relationship.

17 Straight-line models - linear regression.

18 Curvy models - logistic regression.

IX Two more chapters.

19 Measuring survival.

20 Systematic review and meta-analysis.

Appendix: Table of random numbers.

Solutions to Exercises.

References.

Index.

 





 

        

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