Kleinbaum, David G.,
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. - xix, 1051 pages : illustrations ; 24 cm
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
2013946149
GBB369454 bnb
016467778 Uk
Regression analysis.
Multivariate analysis.
Regression Analysis.
Factor Analysis, Statistical.
Multivariate Analysis.
Multivariate analysis.
Regression analysis.
QA278 / .K58 2013
519.535
QA 37 / K64a 2014
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. - xix, 1051 pages : illustrations ; 24 cm
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
2013946149
GBB369454 bnb
016467778 Uk
Regression analysis.
Multivariate analysis.
Regression Analysis.
Factor Analysis, Statistical.
Multivariate Analysis.
Multivariate analysis.
Regression analysis.
QA278 / .K58 2013
519.535
QA 37 / K64a 2014