Applicable for all statistics courses or practical use, teaches how to understand more advanced multivariate statistical methods, as well as how to use available software packages to get correct results. Study problems and examples culled from biomedical research illustrate key points. New to this edition: broadened coverage of ANOVA (traditional analysis of variance), the addition of ANCOVA (analysis of Co-Variance); updated treatment of available statistics software; 2 new chapters (Analysis of Variance Extensions and Mixing Regression and ANOVA: ANCOVA).

Primer of Applied Regression & Analysis of Variance

Science & Math

Slinker, Bryan

Glantz,Stanton

Biological Sciences

McGraw-Hill Education / Medical

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A textbook on the use of advanced statistical methods in healthcare sciences
Primer of Applied Regression &amp; 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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<li>Four completely new chapters</li>
<li>Completely updated software information and examples</li>
</ul>

Primer of Applied Regression & Analysis of Variance, Third Edition

Neilands, Torsten

McGraw-Hill Medical

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