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Applied regression analysis and other multivariable methods

Author: David G Kleinbaum; Lawrence L Kupper; Azhar Nizam; Eli S Rosenberg
Publisher: Boston, MA : Cengage Learning, [2013] ©2014
Edition/Format:   Print book : English : Fifth editionView all editions and formats
Summary:

Helps you learn regression-analysis methods that you can apply to real-life problems. This title highlights the role of the computer in contemporary statistics with numerous printouts and exercises  Read more...

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Material Type: Internet resource
Document Type: Book, Internet Resource
All Authors / Contributors: David G Kleinbaum; Lawrence L Kupper; Azhar Nizam; Eli S Rosenberg
ISBN: 9781285051086 1285051084
OCLC Number: 855704473
Notes: Previous edition: 2008.
Description: xix, 1051 pages : illustrations ; 24 cm
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.
Responsibility: David G. Kleinbaum, Lawrence L. Kupper, Azhar Nizam, Eli S. Rosenberg.
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1. CONCEPTS AND EXAMPLES OF RESEARCH. Concepts. Examples. Concluding Remarks. References. 2. CLASSIFICATION OF VARIABLES AND THE CHOICE OF ANALYSIS. Classification of Variables. Overlapping of Read more...

 
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