Buch, Englisch, 300 Seiten, Format (B × H): 169 mm x 245 mm, Gewicht: 509 g
ISBN: 978-0-470-51301-9
Verlag: Wiley-Blackwell
The second edition of this highly successful, user-friendly book, continues to provide an excellent foundation in statistics for the uninitiated, making it ideal for both students and professionals in health care and medicine who may be either approaching the subject for the first time, or who want to refresh their understanding of any one of a number of statistical concepts and applications.
As with the first edition, the informal and light-hearted style, and the author's avoidance of too much mathematics, makes the material very accessible. The addition of two new chapters, one on survival analysis, the other on systematic review and meta-analysis, significantly improves the coverage offered.
New in this edition:
* Measuring survival: Kaplan-Meier survival curves; comparing survival in two or more groups.Hazard ratios and the Cox regression model.
* Systematic review: methods and problems; combining results - meta-analytic methods.
Reviews of first edition:
His (the author's) work can be highly recommended for health workers, medical students and any other professionals who are revising statistics or approaching it for the first time.Statistical Methods in Medical Research
This basic book is exciting and fun to read. Information is presented in a digestable and humorous format. Examples are appropriate to each subject area and easily understood. Clinical Trials
* Contains work-through examples, using up-to-date, illustrative data.
* Gives insightful examples of the use of the SPSS and Minitab statistics
* programmes for some common applications.
* Provides lots of exercises to improve understanding and consolidate learning
Autoren/Hrsg.
Fachgebiete
Weitere Infos & Material
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.
