This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.
Abstract Details
Activity Number:
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259
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Type:
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Contributed
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Date/Time:
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Monday, August 2, 2010 : 2:00 PM to 3:50 PM
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Sponsor:
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Health Policy Statistics Section
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Abstract - #308771 |
Title:
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Statistical Reasons Why Preference-Scored Measures of HRQoL Disagree
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Author(s):
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Mari Palta*+
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Companies:
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University of Wisconsin
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Address:
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610 Walnut Street, Madison, WI, 53726,
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Keywords:
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HRQoL ;
Errors in variables ;
censoring ;
health ;
utility ;
latent variables
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Abstract:
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Health related quality of life (HRQol) is an important outcome in the assessment of health policy and medical interventions. Preference scored indexes are designed to reflect the utility of health states on a scale where 0 is equivalent to dead and 1 reflects full health. There has been much discussion of the fact that results from different indexes do not agree well, ascribing this to fundamental differences in constructs and methodology. I will show, however, that some statistical properties of commonly used generic indexes contribute to their disagreement. These include (1) Substantial random error due to both pure error and sensitivity to short term fluctuations in health. (2) Differential ceiling effects not only due to the maximum score of 1, but also in the individual health states that are probed by the index.
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The address information is for the authors that have a + after their name.
Authors who are presenting talks have a * after their name.
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