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Modeling Binary Correlated Responses using SAS, SPSS and R

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概要 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 devel...oped statistical tools and statistical packages that are tailored to analyzing correlated binary data. The authors showcase both traditional and new methods for application to health-related research. Data and computer programs will be publicly available in order for readers to replicate model development, but learning a new statistical language is not necessary with this book. The inclusion of code for R, SAS, and SPSS allows for easy implementation by readers. For readers interested in learning more about the languages, though, there are short tutorials in the appendix. Accompanying data sets are available for download through the book s website. Data analysis presented in each chapter will provide step-by-step instructions so these new methods can be readily applied to projects.  Researchers and graduate students in Statistics, Epidemiology, and Public Health will find this book particularly useful.続きを見る
目次 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.
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本文を見る Full text available from Springer Mathematics and Statistics eBooks 2015 English/International

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登録日 2020.06.27
更新日 2020.06.28