Multilevel Models

Abstract

The course has a website at https://data.princeton.edu/pop510, where you will find supporting materials including a course syllabus and bibliography, with useful links to other resources a collection of computing logs including Stata and R logs fitting various linear and generalized linear multilevel models by maximum likelihood Computing logs illustrating the use of Bayesian methods in multilevel analysis, including a random-effects logistic regression model fitted using WinBUGS and Stan Some older runs using the classic package MLwiN Some of my own research on multilevel models is housed at https://data.princeton.edu/multilevel. Resources include a list of publications, the simulated data used in a 1995 JRSS-A paper, and the actual data used in a 2001 JRSS-A paper (and earlier in a 1996 Demography paper)