Franklin

Applied regression analysis and other multivariable methods / edited by David G. Kleinbaum, Lawrence L. Kupper, Azhar Nizam, Eli S. Rosenberg.

Edition:
5th edition.
Publication:
Boston, MA : Cengage Learning, [2014]
Format/Description:
Book
xix, 1051 pages : illustrations ; 24 cm
Subjects:
Regression analysis.
Multivariate analysis.
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
The Correlation Coefficient and Straight-line Regression Analysis
The 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
The Method of Maximum Likelihood
Logistic Regression Analysis
Polytomous and Ordinal Logistic Regression
Poisson Regression Analysis
Analysis of Correlated Date Part 1: The General Linear Mixed Method
Analysis of Correlated Date 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.
Notes:
Includes bibliographical references and index.
Contributor:
Kleinbaum, David G.,
Kupper, Lawrence L.,
Nizam, Azhar,
Rosenberg, Eli S.,
ISBN:
9781285051086 (hbk.)
1285051084 (hbk.)
OCLC:
870283996
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