Primer of Applied Regression & Analysis of Variance, Third Edition (A & L Lange Series)

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9780071824118: Primer of Applied Regression & Analysis of Variance, Third Edition (A & L Lange Series)

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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Product Description:

Designed as a follow up text to the successful "Primer of Biostatistics", this text supports beginning courses in biostatistics and serves as an introductory text and reference source; this book will serve to introduce more advanced statistical concepts and techniques. Like "Primer of Biostatistics", this book uses examples drawn from biomedical literature including social sciences applied to biomedical problems.

About the Author:

Stanton  A. Glantz, PhD Professor of Medicine and Director of the Center for Tobacco Control Research and Education at University of California-San Francisco. He is the author or co-author of more than 300 scientific papers and more than 10 books.
Bryan K. Slinker, DVM, PhD is Professor, Integrative Physiology and Neuroscience, and Dean, College of Veterinary Medicine at Washington State University.
Torsten B. Neilands, PhD is Associate Professor, Department of Medicine, and Director, Research Methods Core at University of California-San Francisco for AIDS Prevention Studies.

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Book Description McGraw-Hill Education - Europe, United States, 2016. Hardback. Book Condition: New. 3rd Revised edition. 241 x 190 mm. Language: English . Brand New Book. 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. Bookseller Inventory # AA39780071824118

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Book Description McGraw-Hill Education - Europe, United States, 2016. Hardback. Book Condition: New. 3rd Revised edition. 241 x 190 mm. Language: English . Brand New Book. 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. Bookseller Inventory # AA39780071824118

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