A marginal mixed baseline hazards model for multivariate failure time data

Biometrics
L X CleggP K Sen

Abstract

In multivariate failure time data analysis, a marginal regression modeling approach is often preferred to avoid assumptions on the dependence structure among correlated failure times. In this paper, a marginal mixed baseline hazards model is introduced. Estimating equations are proposed for the estimation of the marginal hazard ratio parameters. The proposed estimators are shown to be consistent and asymptotically Gaussian with a robust covariance matrix that can be consistently estimated. Simulation studies indicate the adequacy of the proposed methodology for practical sample sizes. The methodology is illustrated with a data set from the Framingham Heart Study.

References

Feb 1, 1980·American Journal of Public Health·S G Haynes, M Feinleib
Jun 1, 1980·Circulation·W B KannelD L McGee

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Citations

Sep 1, 2005·Lifetime Data Analysis·Douglas E Schaubel, Jianwen Cai
Mar 11, 2010·Lifetime Data Analysis·Liang ZhuDeo Kumar Srivastava
Oct 21, 2005·Statistics in Medicine·Jane MonacoJames Grizzle
Feb 19, 2004·Biometrics·Wenqing He, Jerald F Lawless
Jul 15, 2015·Statistical Methods in Medical Research·Jing NingMei-Cheng Wang

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