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Biometrics. 2000 Mar;56(1):160-6.

A linear mixed-effects model for multivariate censored data.

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  • 1Division of Biostatistics, School of Public Health, University of Minnesota, Minneapolis 55455-0378, USA.


We apply a linear mixed-effects model to multivariate failure time data. Computation of the regression parameters involves the Buckley-James method in an iterated Monte Carlo expectation-maximization algorithm, wherein the Monte Carlo E-step is implemented using the Metropolis-Hastings algorithm. From simulation studies, this approach compares favorably with the marginal independence approach, especially when there is a strong within-cluster correlation.

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