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

被引：19

作者：

Chen, Jinsong ^{[1
]}

Liu, Lei ^{[2
]}

Shih, Ya-Chen T. ^{[3
,6
]}

Zhang, Daowen ^{[4
]}

Severini, Thomas A. ^{[5
]}

机构：

[1] Univ Illinois, Dept Med, Chicago, IL USA

[2] Northwestern Univ, Dept Prevent Med, 680 North Lakeshore Dr,Suite 1400, Chicago, IL 60611 USA

[3] Univ Chicago, Dept Med, Chicago, IL 60637 USA

[4] N Carolina State Univ, Dept Stat, Raleigh, NC 27695 USA

[5] Northwestern Univ, Dept Stat, Evanston, IL 60208 USA

[6] Univ Texas MD Anderson Canc Ctr, Dept Hlth Serv Res, Houston, TX USA

来源：

STATISTICS IN MEDICINE | 2016年 / 35卷 / 06期

关键词：

model selection; generalized linear model; health econometrics; semiparametric regression; generalized estimating equation; LONGITUDINAL DATA; REGRESSION; SPLINES;

D O I：

10.1002/sim.6743

中图分类号：

Q [生物科学];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

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.

引用

页码：883 / 894

页数：12

共 33 条

[1]

[Anonymous], NY TIMES

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