Higher dimensional Clayton—Oakes models for multivariate failure time data

Higher dimensional Clayton—Oakes models for multivariate failure time data

The Clayton—Oakes bivariate failure time model is extended to dimensions m > 2 in a manner that allows unspecified marginal survivor functions for all dimensions less than m. Special cases that allow unspecified marginal survivor functions of dimension q or less with q < m, while making some p...

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Veröffentlicht in:Biometrika 2016-03, Vol.103 (1), p.231-236
1. Verfasser: PRENTICE, R. L.
Format: Artikel
Sprache:eng
Schlagworte:
Failure analysis
Mathematical models
Miscellanea
Multivariate analysis
Studies
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Beschreibung
Zusammenfassung:The Clayton—Oakes bivariate failure time model is extended to dimensions m > 2 in a manner that allows unspecified marginal survivor functions for all dimensions less than m. Special cases that allow unspecified marginal survivor functions of dimension q or less with q < m, while making some provisions for dependencies of dimension greater than q, are also described.
ISSN:0006-3444
1464-3510
DOI:10.1093/biomet/asv057