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.
Linear Fixed Effects Models
Linear Fixed Effects Models
Basics
In this chapter, we consider fixed effects methods for data in which the dependent variable is measured on an interval scale and is linearly dependent on a set of predictor variables. We have a set of individuals (i = 1, …, n), each of whom is measured at two or ...
- Loading...
