This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.

Abstract Details

Activity Number: 638
Type: Contributed
Date/Time: Thursday, August 5, 2010 : 8:30 AM to 10:20 AM
Sponsor: Biometrics Section
Abstract - #307220
Title: The Proportional Odds Model with an Anchor
Author(s): David Oakes*+
Companies: University of Rochester
Address: Department of Biostatistics and Computational Biology, Rochester, NY, 14642, USA
Keywords: logistic regression ; ordered categorical data ; tonsil size data

Since the pioneering work of McCullagh (1980), the proportional odds model has become a standard approach to the analysis of ordered categorical data. Motivated by the well-known tonsil size data discussed by McCullagh, we consider the behavior of this model when there is an anchor category of the covariate(s), for which the distribution of the response variable may be assumed known. We exhibit a surprising simplification of the model in this case and show how it can be fitted without specialized software. Some further consequences are discussed.

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