Two-level proportional hazards models

被引:13
作者
Maples, JJ
Murphy, SA
Axinn, WG
机构
[1] Penn State Univ, Methodol Ctr, University Pk, PA 16802 USA
[2] Penn State Univ, Dept Stat, University Pk, PA 16802 USA
[3] Univ Michigan, Dept Stat, Ann Arbor, MI 48109 USA
[4] Univ Michigan, Inst Social Res, Ann Arbor, MI 48109 USA
[5] Univ Michigan, Inst Social Res, Ann Arbor, MI 48106 USA
[6] Univ Michigan, Dept Sociol, Ann Arbor, MI 48106 USA
关键词
EM algorithm; frailty model; hazard model; multilevel; profile likelihood; random coefficient; semiparametric likelihood; survival analysis;
D O I
10.1111/j.0006-341X.2002.00754.x
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
We extend the proportional hazards model to a two-level model with a random intercept term and random coefficients. The parameters in the multilevel model are estimated by a combination of EM and Newton-Raphson algorithms. Even for samples of 50 groups, this method produces estimators of the fixed effects coefficients that are approximately unbiased and normally distributed. Two different methods, observed information and profile likelihood information, will be used to estimate the standard errors. This work is motivated by the goal of understanding the determinants of contraceptive use among Nepalese women in the Chitwan Valley Family Study (Axinn, Barber, and Chimire, 1997). We utilize a two-level hazard model to examine how education and access to education for children covary with the initiation of permanent contraceptive use.
引用
收藏
页码:754 / 763
页数:10
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