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Abstract Details
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Activity Number:
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283
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Type:
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Topic Contributed
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Date/Time:
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Tuesday, July 31, 2012 : 8:30 AM to 10:20 AM
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Sponsor:
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Health Policy Statistics Section
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| Abstract - #305471 |
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Title:
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Estimating Mean Cost Using Auxiliary Covariates
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Author(s):
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Wenqin Pan*+ and Donglin Zeng
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Companies:
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Duke University and The University of North Carolina at Chapel Hill
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Address:
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427 New Parkside Drive, Chapel Hill, AA, 27516, United States
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Keywords:
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Auxiliary covariates ;
Cost analysis ;
Double robust ;
Kernel estimation ;
Missing at random ;
Semiparametric estimation
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Abstract:
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We study the estimation of mean medical cost when censoring is dependent and a large amount of auxiliary information is present. Under missing at random assumption, we propose semi-parametric working models to obtain low-dimensional summarized scores. An estimator for the mean total cost can be derived nonparametrically conditional on the summarized scores. We show that when either the two working models for cost-survival process or the model for censoring distribution is correct, the estimator is consistent and asymptotically normal. Small-sample performance of the proposed method is evaluated via simulation studies. Finally, our approach is applied to analyze a real data set in health economics.
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