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Glantz, Stanton A.,

Primer of applied regression & analysis of variance / Primer of applied regression and analysis of variance Stanton A. Glantz, Bryan K. Slinker, Torsten B. Neilands. - Third edition - New York, New York : McGraw-Hill Education, 2016. - xxvii, 1,183 pages : illustrations ; 24 cm.

Includes bibliographical references and index.

Why do multivariate analysis? -- The first step : understanding simple linear regression -- Regression with two or more independent variables -- Do the data fit the assumptions? -- Multicollinearity and what to do about it -- Selecting the "best" regression model -- Missing data -- One-way analysis of variance -- Two-way analysis of variance -- Repeated measures -- Mixing continuous and categorical variables : analysis of covariance -- Regression with a qualitative dependent variable : logistic regression -- Regression modeling of time-to-event data : survival analysis -- Nonlinear regression

ISBN: 9780071824118 0071824111

LCCN: 2015033598

Nat. Bib. Agency Control No.: 101667155 DNLM

Subjects--Topical Terms:
Biometry
Regression analysis
Analysis of variance
Biometry--methods
Regression Analysis
Analysis of Variance
Data Interpretation, Statistical

LC Class. No.: QH 323.5 / .G458 2016 QH323.5 / .G56 2016

National Library of Medicine Call No.: WA 950