Primer of Biostatistics / Edition 5

Primer of Biostatistics / Edition 5

by Stanton A. Glantz
     
 

ISBN-10: 0071379460

ISBN-13: 9780071379465

Pub. Date: 11/05/2001

Publisher: McGraw-Hill Companies, The

Extremely popular, this student-friendly text presents the practical areas of statistics in terms of their relevance to medicine and the life sciences. Includes many illustrative examples and challenging problems that reinforce the author’s unique and intuitive approach to the subject. The new edition features a new two-color design, examples taken from current…  See more details below

Overview

Extremely popular, this student-friendly text presents the practical areas of statistics in terms of their relevance to medicine and the life sciences. Includes many illustrative examples and challenging problems that reinforce the author’s unique and intuitive approach to the subject. The new edition features a new two-color design, examples taken from current biomedical literature, and review questions within each chapter.

You'll start with the basics, including analysis of variance and the t test, then advance to a multiple comparison testing, contingency tables, regression, and more. Examples from the current literature illustrate key concepts throughout.
New:
* More on multiple comparison testing, including the Holm test
* Discussion of relative risks and odds ratios
* Updated examples from the literature

Product Details

ISBN-13:
9780071379465
Publisher:
McGraw-Hill Companies, The
Publication date:
11/05/2001
Edition description:
Older Edition
Pages:
489
Product dimensions:
5.36(w) x 8.01(h) x 0.83(d)

Table of Contents

1Biostatistics and clinical practice1
2How to summarize data11
3How to test for differences between groups40
4The special case of two groups : the t test73
5How to analyze rates and proportions126
6What does "not significant" really mean?179
7Confidence intervals219
8How to test for trends253
9Experiments when each subject receives more than one treatment321
10Alternatives to analysis of variance and the t test based on ranks363
11How to analyze survival data413
12What do the data really show?444
AppPower charts472

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