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Median Regression with Censored Cost Data
Heejung Bang and Anastasios A. Tsiatis
Vol. 58, No. 3 (Sep., 2002), pp. 643-649
Published by: International Biometric Society
Stable URL: http://www.jstor.org/stable/3068588
Page Count: 7
You can always find the topics here!Topics: Cost estimates, Estimators, Regression analysis, Censored data, Censorship, Cost estimation models, Health care costs, Estimated cost to complete, Cost allocation, Simulations
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Because of the skewness of the distribution of medical costs, we consider modeling the median as well as other quantiles 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.
Biometrics © 2002 International Biometric Society