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A Multivariate Model for Repeated Failure Time Measurements
Scandinavian Journal of Statistics
Vol. 25, No. 1 (Mar., 1998), pp. 53-67
Published by: Wiley on behalf of Board of the Foundation of the Scandinavian Journal of Statistics
Stable URL: http://www.jstor.org/stable/4616484
Page Count: 15
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A parametric multivariate failure time distribution is derived from a frailty-type model with a particular frailty distribution. It covers as special cases certain distributions which have been used for multivariate survival data in recent years. Some properties of the distribution are derived: its marginal and conditional distributions lie within the parametric family, and association between the component variates can be positive or, to a limited extent, negative. The simple closed form of the survivor function is useful for right-censored data, as occur commonly in survival analysis, and for calculating uniform residuals. Also featured is the distribution of ratios of paired failure times. The model is applied to data from the literature.
Scandinavian Journal of Statistics © 1998 Board of the Foundation of the Scandinavian Journal of Statistics