A Marginal Mixed Baseline Hazards Model for Multivariate Failure Time Data
- 1 September 1999
- journal article
- Published by Oxford University Press (OUP) in Biometrics
- Vol. 55 (3) , 805-812
- https://doi.org/10.1111/j.0006-341x.1999.00805.x
Abstract
Summary.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 t o 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.Keywords
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