Journal
STATISTICS IN MEDICINE
Volume 35, Issue 6, Pages 883-894Publisher
WILEY
DOI: 10.1002/sim.6743
Keywords
model selection; generalized linear model; health econometrics; semiparametric regression; generalized estimating equation
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Funding
- AHRQ [R01 HS 020263]
- NIH/NCI [R01 CA 85848]
- NSF [DMS-1308009]
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We propose a flexible model for correlated medical cost data with several appealing features. First, the mean function is partially linear. Second, the distributional form for the response is not specified. Third, the covariance structure of correlated medical costs has a semiparametric form. We use extended generalized estimating equations to simultaneously estimate all parameters of interest. B-splines are used to estimate unknown functions, and a modification to Akaike information criterion is proposed for selecting knots in spline bases. We apply the model to correlated medical costs in the Medical Expenditure Panel Survey dataset. Simulation studies are conducted to assess the performance of our method. Copyright (c) 2015 John Wiley & Sons, Ltd.
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