Applied regression analysis and other multivariable methods
Applied regression analysis and other multivariable methods
David G. Kleinbaum, Emory University, Lawrence L. Kupper, University of North Carolina, Chapel Hill, Azhar Nizam, Emory University, Eli S. Rosenberg, Emory University.
- Fifth edition.
- USA ; Cengage Learning ; 2014.
- xix, 1051 pages : illustrations ; 24 cm
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.
9781285051086 1285051084
Public Health
Multivariate analysis.
WA900 / A66
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.
9781285051086 1285051084
Public Health
Multivariate analysis.
WA900 / A66