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
9780071824118 0071824111
2015033598
101667155 DNLM
Biometry Regression analysis Analysis of variance Biometry--methods Regression Analysis Analysis of Variance Data Interpretation, Statistical