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Applied regression analysis and other multivariable methods /

by Kleinbaum, David G [author.]; [author.].
Material type: materialTypeLabelBookEdition: Fourth edition.Description: xxi, 906 p. : illustrations ; 25 cm.ISBN: 9780495384984.Subject(s): Regression analysis | Multivariate analysis | Regression Analysis | Factor Analysis, Statistical | Multivariate Analysis | Multivariate analysis | Regression analysisOnline resources: Publisher description | Table of contents only
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 -- Correlation coefficient and straight-line regression analysis -- Analysis-of-variance table -- Multiple regression analysis : general considerations -- Statistical inference 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 -- 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 method -- Analysis of correlated data part 2 : random effects and other issues -- Sample size planning for linear and logisitc regression and analysis of variance -- Appendix A. Tables -- Appendix B. Matrices and their relationship to regression analysis -- Appendix C. SAS computer appendix -- Appendix D. Answers to selected problems.
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Item type Current location Call number Copy number Status Notes Date due Barcode
Books Books KAMPALA UNIVERSITY NURSING SCHOOL
General Section
QA278 .K58 2008 (Browse shelf) c2 Available Item available in hard copy 2025-5810
Books Books KAMPALA UNIVERSITY, JINJA
General Section
QA37K64 2014 (Browse shelf) C1 Available Material available in hard copy 2020-0094
Browsing KAMPALA UNIVERSITY NURSING SCHOOL Shelves , Shelving location: General Section Close shelf browser
QA276.12 .H45 2003 Basic statistics for the behavioral sciences/ QA276 .12 M65 1989 Introduction to the practice of statistics / QA276.12 .S56 1990 Statistics by example / QA278 .K58 2008 Applied regression analysis and other multivariable methods / QA279.5 .B65 2007 Introduction to Bayesian statistics / QA303 .B527 2000 Brief applied calculus. QA303 .B527 2000 Brief applied calculus.

Previous edition: 2008.

Includes bibliographical references and index.

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 -- Correlation coefficient and straight-line regression analysis -- Analysis-of-variance table -- Multiple regression analysis : general considerations -- Statistical inference 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 -- 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 method -- Analysis of correlated data part 2 : random effects and other issues -- Sample size planning for linear and logisitc regression and analysis of variance -- Appendix A. Tables -- Appendix B. Matrices and their relationship to regression analysis -- Appendix C. SAS computer appendix -- Appendix D. Answers to selected problems.

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