Adjusting for Confounding by Neighborhood Using a Proportional Odds Model and Complex Survey Data

Amy Dailey, Gettysburg College
Babette Brumback
Hao Zheng


In social epidemiology, an individual’s neighborhood is considered to be an important determinant of health behaviors, mediators, and outcomes. In this paper, the authors present a generalization of conditional logistic regression analysis for ordinal outcomes and complex sampling designs, based on a proportional odds model.