Modeling Binary Correlated Responses using SAS, SPSS and R

• Main Authors: Wilson, Jeffrey R. (Author), Lorenz, Kent A. (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2015.
• Series: ICSA Book Series in Statistics, 9
• Subjects: Statistics.; Biostatistics.; Statistical Theory and Methods.; Statistics for Life Sciences, Medicine, Health Sciences.

Statistical tools to analyze correlated binary data are spread out in the existing literature. This book makes these tools accessible to practitioners in a single volume. Chapters cover recently developed statistical tools and statistical packages that are tailored to analyzing correlated binary dat...

Table of Contents:

• Introduction to Binary logistic Regression
• Growth of the Logistic Regression Model
• Standard Binary Logistic Regression Model
• Overdispersed Logistic Regression Model
• Weighted Logistic Regression Model
• Generalized Estimating Equations Logistic Regression
• Generalized Method of Moments logistic regression Model
• Exact Logistic Regression Model
• Two-Level Nested Logistic Regression Model
• Hierarchical Logistic Regression models
• Fixed Effects Logistic Regression Model
• Heteroscedastic Logistic Regression Model.