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Regression with Frailty in Survival Analysis

C. A. McGilchrist and C. W. Aisbett
Biometrics
Vol. 47, No. 2 (Jun., 1991), pp. 461-466
DOI: 10.2307/2532138
Stable URL: http://www.jstor.org/stable/2532138
Page Count: 6
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Regression with Frailty in Survival Analysis
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Abstract

In studies of survival, the hazard function for each individual may depend on observed risk variables but usually not all such variables are known or measurable. This unknown factor of the hazard function is usually termed the individual heterogeneity or frailty. When survival is time to the occurrence of a particular type of event and more than one such time may be obtained for each individual, frailty is a common factor among such recurrence times. A model including frailty is fitted to such repeated measures of recurrence times.

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