Primer of Applied Regression & Analysis of Variance, Third Edition

Nonfiction, Health & Well Being, Medical, Reference, Biostatistics
Cover of the book Primer of Applied Regression & Analysis of Variance, Third Edition by Torsten B. Neilands, Stanton A. Glantz, Bryan K. Slinker, McGraw-Hill Education
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Author: Torsten B. Neilands, Stanton A. Glantz, Bryan K. Slinker ISBN: 9780071822442
Publisher: McGraw-Hill Education Publication: February 22, 2016
Imprint: McGraw-Hill Education / Medical Language: English
Author: Torsten B. Neilands, Stanton A. Glantz, Bryan K. Slinker
ISBN: 9780071822442
Publisher: McGraw-Hill Education
Publication: February 22, 2016
Imprint: McGraw-Hill Education / Medical
Language: English

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
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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.

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