Estimation in Semiparametric Transition Measurement Error Models for Longitudinal Data

被引：9

作者：

Pan, Wenqin ^{[1
]}

Zeng, Donglin ^{[2
]}

Lin, Xihong ^{[3
]}

机构：

[1] Duke Univ, Dept Biostat & Bioinformat, Durham, NC 27705 USA

[2] Univ N Carolina, Dept Biostat, Chapel Hill, NC 27599 USA

[3] Harvard Univ, Sch Publ Hlth, Dept Biostat, Boston, MA 02115 USA

来源：

BIOMETRICS | 2009年 / 65卷 / 03期

关键词：

Asymptotic efficiency; Conditional score method; Functional modeling; Longitudinal data; Measurement error; Transition models; AUTOREGRESSIVE MODELS; BIAS ANALYSIS; PANEL-DATA; INFERENCE; SURVIVAL; VARIABLES;

D O I：

10.1111/j.1541-0420.2008.01173.x

中图分类号：

Q [生物科学];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

P>We consider semiparametric transition measurement error models for longitudinal data, where one of the covariates is measured with error in transition models, and no distributional assumption is made for the underlying unobserved covariate. An estimating equation approach based on the pseudo conditional score method is proposed. We show the resulting estimators of the regression coefficients are consistent and asymptotically normal. We also discuss the issue of efficiency loss. Simulation studies are conducted to examine the finite-sample performance of our estimators. The longitudinal AIDS Costs and Services Utilization Survey data are analyzed for illustration.

引用

页码：728 / 736

页数：9

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