JSM 2004 Online Program

Abstract #302035

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Activity Number:	83
Type:	Contributed
Date/Time:	Monday, August 9, 2004 : 8:30 AM to 10:20 AM
Sponsor:	Section on Health Policy Statistics
Abstract - #302035
Title:	A Dirichlet Multinomial Logistic Regression Model: Physician Assistant Autonomy
Author(s):	Jeffrey R. Wilson*+ and Eugene Schneller and Baohui Zhang
Companies:	Arizona State University and Arizona State University and Arizona State University
Address:	W.P. Carey School of Business, Tempe, AZ, 85287-4506,
Keywords:	nested ; dependency ; extra variation ; clustering
Abstract:	A Dirichlet-Multinomial logistic regression model is used to model data pertaining to physician assistants' opinions over time. The data is part of a larger study where researchers were interested in the beliefs of physician assistant about autonomy over time. The physicians were surveyed in 1972, 1977, and 1985 to see how their views have changed. The Dirichlet logistic regression model is used since two sources of variation were inherent in the data beyond what is expected in a multinomial model were found to be present.

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