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 Events History Data
Fixed Effects Models for Events History Data
Event history analysis is the name given to a set of statistical methods that are designed to describe, explain, or predict the occurrence of events. Outside the social sciences, these methods are commonly called survival analysis, owing to the fact that they were first developed by ...
- Loading...
