TY  - BOOK
AU  - Hoffmann, John P.
TI  - Regression Models for Categorical, Count and Related Variables: An Applied Approach
SN  - 9780520289291
U1  - 519.536 
PY  - 2016///
CY  - Oakland
PB  - University of California Press
KW  - Regression Analysis - Mathematical Models
N1  - 1.	Review of linear regression models
2.	Categorical data and generalized linear models
3.	Logistic and profit regression models
4.	Ordered logistic and probit regression models
5.	Multinomial logistic and probit regression models
6.	Poisson and negative binomial regression models
7.	Event history models
8.	Regression models for longitudinal data
9.	Multilevel regression models
10.	Principal components and factor analysis
11.	Appendix A : SAS, SPSS and R code for examples in chapters
12.	Appendix B : using simulations to examine assumptions of OLS regression
13.	Appendix C : working with missing data
ER  -