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Applied regression analysis and other multivariable methods /

by Kleinbaum, David G [author.]; Kupper, Lawrence L [author.]; Nizam, Azhar [author.]; Rosenberg, Eli S [author.].
Material type: materialTypeLabelBookEdition: Fifth edition.Description: xix, 1051 pages : illustrations ; 24 cm.ISBN: 9781285051086; 1285051084.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, JINJA
General Section
QA37K64 2014 (Browse shelf) C1 Available Material available in hard copy 2020-0094
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PZ5.A2495 2001 African American writers / Q76 .S3594 2013 Invitation to computer science / QA11.2 .A94 2013 Mathematical excursions QA37K64 2014 Applied regression analysis and other multivariable methods / QA 37.2 .J64 2013 Mathematics : QA39.3 .A939 2014 Basic college mathematics : an applied approach QA39.3.A939 2014 Basic college mathematics :

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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