A flexible model for correlated medical costs, with application to medical expenditure panel survey data

Jinsong Chen, Lei Liu, Ya Chen T. Shih, Daowen Zhang, Thomas A. Severini

Research output: Contribution to journalArticlepeer-review

13 Scopus citations

Abstract

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.

Original languageEnglish
Pages (from-to)883-894
Number of pages12
JournalStatistics in medicine
Volume35
Issue number6
DOIs
StatePublished - Mar 15 2016

Keywords

  • Generalized estimating equation
  • Generalized linear model
  • Health econometrics
  • Model selection
  • Semiparametric regression

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