9780071824118-0071824111-Primer of Applied Regression & Analysis of Variance, Third Edition

Primer of Applied Regression & Analysis of Variance, Third Edition

ISBN-13: 9780071824118
ISBN-10: 0071824111
Edition: 3
Author: Stanton Glantz, Bryan Slinker, Torsten Neilands
Publication date: 2016
Publisher: McGraw Hill / Medical
Format: Hardcover 1216 pages
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Book details

ISBN-13: 9780071824118
ISBN-10: 0071824111
Edition: 3
Author: Stanton Glantz, Bryan Slinker, Torsten Neilands
Publication date: 2016
Publisher: McGraw Hill / Medical
Format: Hardcover 1216 pages

Summary

Primer of Applied Regression & Analysis of Variance, Third Edition (ISBN-13: 9780071824118 and ISBN-10: 0071824111), written by authors Stanton Glantz, Bryan Slinker, Torsten Neilands, was published by McGraw Hill / Medical in 2016. With an overall rating of 4.3 stars, it's a notable title among other Biology (Biological Sciences) books. You can easily purchase or rent Primer of Applied Regression & Analysis of Variance, Third Edition (Hardcover) from BooksRun, along with many other new and used Biology books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $12.87.

Description

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A textbook on the use of advanced statistical methods in healthcare sciences

Primer of Applied Regression & Analysis of Variance is a textbook especially created for medical, public health, and social and environmental science students who need applied (not theoretical) training in the use of statistical methods. The book has been acclaimed for its user-friendly style that makes complicated material understandable to readers who do not have an extensive math background.

The text is packed with learning aids that include chapter-ending summaries and end-of-chapter problems that quickly assess mastery of the material. Examples from biological and health sciences are included to clarify and illustrate key points. The techniques discussed apply to a wide range of disciplines, including social and behavioral science as well as health and life sciences. Typical courses that would use this text include those that cover multiple linear regression and ANOVA.

  • Four completely new chapters
  • Completely updated software information and examples
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