A CAUTIONARY NOTE ON INFERENCE FOR MARGINAL REGRESSION-MODELS WITH LONGITUDINAL DATA AND GENERAL CORRELATED RESPONSE DATA

被引:277
作者
PEPE, MS [1 ]
ANDERSON, GL [1 ]
机构
[1] FRED HUTCHINSON CANC RES CTR,SEATTLE,WA 98104
关键词
QUASILIKELIHOOD; GENERALIZED ESTIMATING EQUATIONS; MULTIVARIATE RESPONSE; CROSS-SECTIONAL MODEL;
D O I
10.1080/03610919408813210
中图分类号
O21 [概率论与数理统计]; C8 [统计学];
学科分类号
020208 ; 070103 ; 0714 ;
摘要
Inference for cross-sectional models using longitudinal data can be accomplished with generalized estimating equations (Zeger and Liang, 1992). We show that either a diagonal working covariance matrix should be used or a key assumption should be verified. The assumption is non-trivial when covariates vary over time. The validity of this assumption is explored for some broad classes of correlation structures. Similar considerations are shown to be relevant for the more general problem of correlated response data and marginal regression analysis with individual level covariates.
引用
收藏
页码:939 / 951
页数:13
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