On consistency of Kendall's tau under censoring

• 成果类型: Article
• 署名作者: Oakes, David
• 署名单位: University of Rochester
• 刊物名称: BIOMETRIKA
• ISSN/ISSBN: 0006-3444
• DOI: 10.1093/biomet/asn037
• 发表日期: 2008
• 页码: 9971001
• 关键词: failure; MODEL; INDEPENDENCE; association

摘要

Necessary and sufficient conditions for consistency of a simple estimator of Kendall's tau under bivariate censoring are presented. The results are extended to data subject to bivariate left truncation as well as right censoring.