Accessibility navigation


Detection of frailty in Weibull lifetime data using Outlier tests

Caroni, C. and Kimber, A. (2004) Detection of frailty in Weibull lifetime data using Outlier tests. Journal of Statistical Computation and Simulation, 74 (1). pp. 15-23. ISSN 0094-9655

Full text not archived in this repository.

It is advisable to refer to the publisher's version if you intend to cite from this work. See Guidance on citing.

To link to this item DOI: 10.1080/0094965031000104305

Abstract/Summary

Heterogeneity in lifetime data may be modelled by multiplying an individual's hazard by an unobserved frailty. We test for the presence of frailty of this kind in univariate and bivariate data with Weibull distributed lifetimes, using statistics based on the ordered Cox-Snell residuals from the null model of no frailty. The form of the statistics is suggested by outlier testing in the gamma distribution. We find through simulation that the sum of the k largest or k smallest order statistics, for suitably chosen k , provides a powerful test when the frailty distribution is assumed to be gamma or positive stable, respectively. We provide recommended values of k for sample sizes up to 100 and simple formulae for estimated critical values for tests at the 5% level.

Item Type:Article
Refereed:Yes
Divisions:Faculty of Life Sciences > School of Biological Sciences
ID Code:10445
Uncontrolled Keywords:Weibull distribution, Cox-Snell residuals, testing, DISTRIBUTIONS, HETEROGENEITY, DISEASE, MODEL

University Staff: Request a correction | Centaur Editors: Update this record

Page navigation