Adjusting for Confounding by Neighborhood Using a Proportional Odds Model and Complex Survey Data
Abstract
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.
This paper has been withdrawn.