Primer of Biostatistics 7th Edition
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Primer of Biostatistics 7th Edition

SKU: 9780071809924

Original price was: $70.20.Current price is: $24.99.

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Additional information

Full Title

Primer of Biostatistics 7th Edition
Author(s)

Stanton A. Glantz
Edition

7th Edition
ISBN

9780071809924, 9780071781503
Publisher

McGraw-Hill Education / Medical
Format

PDF and EPUB

Description

A concise, engagingly written introduction to understanding statistics as they apply to medicine and the life sciences CD-ROM performs 30 statistical tests Don’t be afraid of biostatistics anymore! Primer of Biostatistics,7th Edition demystifies this challenging topic in an interesting and enjoyable manner that assumes no prior knowledge of the subject. Faster than you thought possible, you’ll understand test selection and be able to evaluate biomedical statistics critically, knowledgeably, and confidently. With Primer of Biostatistics, you’ll start with the basics, including analysis of variance and the t test, then advance to multiple comparison testing, contingency tables, regression, and more. Illustrative examples and challenging problems, culled from the recent biomedical literature, highlight the discussions throughout and help to foster a more intuitive approach to biostatistics. The companion CD-ROM contains everything you need to run thirty statistical tests of your own data. Review questions and summaries in each chapter facilitate the learning process and help you gauge your comprehension. By combining whimsical studies of Martians and other planetary residents with actual papers from the biomedical literature, the author makes the subject fun and engaging. Coverage includes: How to summarize data How to test for differences between groups The t test How to analyze rates and proportions What does “not significant” really mean? Confidence intervals How to test for trends Experiments when each subject receives more than one treatment Alternatives to analysis of variance and the t test based on ranks How to analyze survival data

Related products

Primer of Biostatistics 7th Edition
-71%
Availability: In Stock

Primer of Biostatistics 7th Edition

SKU: 9780071781503

Original price was: $86.00.Current price is: $24.99.

Access Primer of Biostatistics 7th Edition Now. Discount up to 90%

Categories: ,

Additional information

Full Title

Primer of Biostatistics 7th Edition
Author(s)

Glantz, Stanton
Edition

7th Edition
ISBN

9780071781503
Publisher

McGraw Hill (Professional)
Format

PDF and EPUB

Description

A concise, engagingly written introduction to understanding statistics as they apply to medicine and the life sciences CD-ROM performs 30 statistical tests Don’t be afraid of biostatistics anymore! Primer of Biostatistics,7th Edition demystifies this challenging topic in an interesting and enjoyable manner that assumes no prior knowledge of the subject. Faster than you thought possible, you’ll understand test selection and be able to evaluate biomedical statistics critically, knowledgeably, and confidently. With Primer of Biostatistics, you’ll start with the basics, including analysis of variance and the t test, then advance to multiple comparison testing, contingency tables, regression, and more. Illustrative examples and challenging problems, culled from the recent biomedical literature, highlight the discussions throughout and help to foster a more intuitive approach to biostatistics. The companion CD-ROM contains everything you need to run thirty statistical tests of your own data. Review questions and summaries in each chapter facilitate the learning process and help you gauge your comprehension. By combining whimsical studies of Martians and other planetary residents with actual papers from the biomedical literature, the author makes the subject fun and engaging. Coverage includes: How to summarize data How to test for differences between groups The t test How to analyze rates and proportions What does “not significant” really mean? Confidence intervals How to test for trends Experiments when each subject receives more than one treatment Alternatives to analysis of variance and the t test based on ranks How to analyze survival data

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