Summary
Contents
Subject index
This book will show how to estimate and interpret fixed-effects models in a variety of different modeling contexts: linear models, logistic models, Poisson models, Cox regression models, and structural equation models. Written at a level appropriate for anyone who has taken a year of statistics, the book will be appropriate as a supplement for graduate courses in regression or linear regression as well as an aid to researchers who have repeated measures or cross-sectional data.
Fixed Effects Models for Count Data
Fixed Effects Models for Count Data
Often our dependent variables are counts of something: number of children, number of sex partners in the last year, number of computers in the home, number of arrests in the past 5 years, and so on. Many researchers treat count variables as continuous measures and do their ...
- Loading...
