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Title Applied regression analysis and other multivariable methods / David G. Kleinbaum ... [et al.].

Published Australia ; Belmont, CA : Brooks/Cole, 2007.


Location Call No. Status
 UniM ERC  519.536 APPL    DUE 14-10-19
Edition 4th ed.
Physical description xxi, 906 p. : ill. ; 24 cm.
Series Duxbury applied series
Duxbury applied series
Notes Rev. ed. of: Applied regression analysis and other multivariable methods. 3rd ed / David G. Kleinbaum ... [et al.]. c1998.
Bibliography Includes bibliographical references and index.
Contents Concepts and examples of research -- Classification of variables and the choice of analysis -- Basic statistics : a review -- Introduction to regression analysis -- Straight-line regression analysis -- The correlation coefficient and straight-line regression analysis -- The analysis-of-variance table -- Multiple regression analysis : general considerations -- Testing hypotheses in multiple regression -- Correlations : multiple, partial, and multiple partial -- Confounding and interaction in regression -- Dummy variables in regression -- Analysis of covariance and other methods for adjusting continuous data -- Regression diagnostics -- Polynomial regression -- Selecting the best regression equation -- One-way analysis of variance -- Randomized blocks : special case of two-way anova -- Two-way anova with equal cell numbers -- Two-way anova with unequal cell numbers -- The method of maximum likelihood -- Logistic regression analysis -- Polytomous and ordinal logistic regression -- Poisson regression analysis -- Analysis of correlated data part 1 : the general linear mixed model -- Analysis of correlated data part 2 : random effects and other issues -- Sample size planning for linear and logistic regression and analysis of variance.
Other author Kleinbaum, David G.
Subject Regression analysis.
Multivariate analysis.
ISBN 9780495384960