This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.
Abstract Details
Activity Number:
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230
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Type:
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Topic 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 - #306368 |
Title:
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Statistical Analyses of Correlated Medical Cost Data
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Author(s):
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Lei Liu*+
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Companies:
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University of Virginia
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Address:
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Division of Biostatistics & Epidemiology, Dept of Public Health Sciences, Charlottesville, VA, 22908,
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Keywords:
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mixed models ;
random effects ;
zero-inflated ;
health econometrics
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Abstract:
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The recently rekindled debate on health care reform in the U.S. and interest in how to pay for an expanded national program of care provides motivation to better model medical cost data. In practice, medical costs could be correlated, e.g., longitudinal medical costs, where costs accumulated within different time intervals are correlated for the same subject. In this talk, we will present new statistical model to analyze the correlated medical costs data. In particular, we will show how to extend the traditional medical cost models (two-part models and sample selection models, e.g., Tobit model), to the correlated data setting. We will compare the performance of these models through real data analysis.
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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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