Higher dimensional Clayton-Oakes models for multivariate failure time data

• 成果类型: Article
• 署名作者: Prentice, R. L.
• 署名单位: Fred Hutchinson Cancer Center
• 刊物名称: BIOMETRIKA
• ISSN/ISSBN: 0006-3444
• DOI: 10.1093/biomet/asv057
• 发表日期: 2016
• 页码: 231236
• 关键词: bivariate survival-data; LIFE-TABLES; association

摘要

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.