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Activity Number:
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79
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Type:
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Contributed
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Date/Time:
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Monday, August 12, 2002 : 8:30 AM to 10:20 AM
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Sponsor:
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Biometrics Section*
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| Abstract - #300770 |
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Title:
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Median Regression with Censored Cost Data
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Author(s):
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Heejung Bang*+ and Anastasios Tsiatis
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Affiliation(s):
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University of North Carolina, Chapel Hill and North Carolina State University
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Address:
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137 E.Franklin Street, Suite 400, CB#8030, Chapel Hill, North Carolina, 27514, U.S.A.
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Keywords:
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Cost analysis ; Estimating equation ; Quantile regression ; Simulated annealing ; Survival analysis
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Abstract:
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Because of the skewness of the distribution of medical costs, we consider modeling the quantiles, such as the median, when establishing regression relationships to covariates. In many applications the medical cost data are also right-censored. In this article, we propose semiparametric procedures for estimating the parameters in median regression models, based on weighted estimating equations when censoring is present. Numerical studies are conducted to show that our estimators perform well with small samples, and the resulting inference is reliable in circumstances of practical importance. The methods are applied to a dataset for medical costs of patients with colorectal cancer.
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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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