Primer of Applied Regression & Analysis of Variance

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9780071360869: Primer  of Applied Regression & Analysis of Variance

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 with clear and entertaining writing style demystifies a very dry, difficult subject study problems at the end of each chapter and examples culled from biomedical research illustrate key points

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Review:

This is a solid reference work. Biostatisticians and epidemiologists will find it useful. 3 Stars."-- Doody's Review Service ( Doody's 2001-01-01)

From the Back Cover:

Demystifies the Use of Advanced Statistcal Methods

Unlike other texts, Primer of Applied Regression & Analysis of Variance teaches both how to understand more advanced multivariate statistical methods, as well as how to use statistical software to get the correct results. This new edition offers the modern, intuitive approaches that won the first edition a wide following, while adding traditional methods for complete coverage of applied statistical methods.

FEATURES:
*Reader-friendly style that makes complicated material approachable and usable
*Practical guidelines for the correct application of statistical software
*Examples from biological and health sciences research that clarify key points
*End-of-chapter study problems that quickly test mastery of the materialNEW IN THIS EDITION
*Expanded coverage of traditional ANOVA (analysis of variance)
*Expanded coverage of ANOVA extensions, assumptions, and workarounds for "problem" data
*Cox proportional hazard models
*Expanded coverage of repeated measures
*New examples from biological and health sciences research
*Expanded and revised coverage of statistical software
*Web site (http:www.vetmed.wsu.edu/AppliedRegression/) to support statistics instruction and facilitate use of example and problem data sets

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