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Activity Number: 82
Type: Roundtables
Date/Time: Monday, August 3, 2009 : 7:00 AM to 8:15 AM
Sponsor: Section on Health Policy Statistics
Abstract - #303876
Title: Challenges in Applying Regression Methods to Preference-Scored Indexes of HRQoL
Author(s): Mari Palta*+
Companies: University of Wisconsin-Madison
Address: 610 Walnut Street, Madison, WI, 53726,
Keywords: preference ; censoring ; latent ; index ; utility ; health
Abstract:

In health services research, preference scored indexes of health related quality of life (HRQoL) are used to calculate QALYs (Quality Adjusted Life Years), in cost effectiveness analysis, and simply as measures of subjective health. Scores are constructed so that 0 is equivalent to death and 1 to full health. The statistical analysis of these indexes presents challenges due to their limited range, and as many people score close to 1 in general population studies. We will discuss the appropriateness of regression methods often used in the analysis of these indexes, and the interpretation of their results. In particular, we will consider the interpretation of regression coefficients obtained by methods that incorporate censoring or two part distributions to deal with the limited range. We will also discuss the application of psychometric latent variable methods to preference measures.


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