Lorenz, Kent A.
Modeling Binary Correlated Responses using SAS, SPSS and R
Part I. Introduction and Review of Modeling Uncorrelated Observations
1. Introduction to Binary Logistic Regression
Jeffrey R. Wilson, Kent A. Lorenz
2. Short History of the Logistic Regression Model
Jeffrey R. Wilson, Kent A. Lorenz
3. Standard Binary Logistic Regression Model
Jeffrey R. Wilson, Kent A. Lorenz
Part II. Analyzing Correlated Data Through Random Component
4. Overdispersed Logistic Regression Model
Jeffrey R. Wilson, Kent A. Lorenz
5. Weighted Logistic Regression Model
Jeffrey R. Wilson, Kent A. Lorenz
6. Generalized Estimating Equations Logistic Regression
Jeffrey R. Wilson, Kent A. Lorenz
7. Generalized Method of Moments Logistic Regression Model
Jeffrey R. Wilson, Kent A. Lorenz
8. Exact Logistic Regression Model
Jeffrey R. Wilson, Kent A. Lorenz
Part III. Analyzing Correlated Data Through Systematic Components
9. Two-Level Nested Logistic Regression Model
Jeffrey R. Wilson, Kent A. Lorenz
10. Hierarchical Logistic Regression Models
Jeffrey R. Wilson, Kent A. Lorenz
11. Fixed Effects Logistic Regression Model
Jeffrey R. Wilson, Kent A. Lorenz
Part IV. Analyzing Correlated Data Through the Joint Modeling of Mean and Variance
12. Heteroscedastic Logistic Regression Model
Jeffrey R. Wilson, Kent A. Lorenz
Avainsanat: Statistics, Statistical Theory and Methods, Biostatistics, Statistics for Life Sciences, Medicine, Health Sciences
- Tekijä(t)
- Lorenz, Kent A.
- Wilson, Jeffrey R.
- Julkaisija
- Springer
- Julkaisuvuosi
- 2015
- Kieli
- en
- Painos
- 1
- Sarja
- ICSA Book Series in Statistics
- Sivumäärä
- 23 sivua
- Kategoria
- Eksaktit luonnontieteet
- Tiedostomuoto
- E-kirja
- eISBN (PDF)
- 9783319238050
- Painetun ISBN
- 978-3-319-23804-3