截尾生存数据的广义K变量比例风险函数

IF 16.4 1区 化学 Q1 CHEMISTRY, MULTIDISCIPLINARY
Hilmi Fadel Kittani
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引用次数: 0

摘要

本文发展了生存分析中截尾数据的广义变量风险函数。它引入了一个广义的递归公式,扩展了Clayton和Cuzick (1985, Journal of Royal Statistical Society: Series a (General), 148(2): 82-108)和Kittani (1995, Journal of Mathematical Sciences, 67-74)分别介绍的二元和三变量情况。该函数由关联参数和边际风险函数明确表示。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Generalized K‐Variate Proportional Hazard Function For Censored Survival Data
This note develops a generalized ‐variate hazard function for censored data in survival analysis. It introduces a generalized recursive formula, extending the bivariate and trivariate cases introduced by Clayton and Cuzick (1985, Journal of the Royal Statistical Society: Series A (General) , 148(2):82–108) and Kittani (1995, Journal of Mathematical Sciences , 67–74), respectively. The newly developed function is explicitly specified by association parameters and marginal hazard functions.
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来源期刊
Accounts of Chemical Research
Accounts of Chemical Research 化学-化学综合
CiteScore
31.40
自引率
1.10%
发文量
312
审稿时长
2 months
期刊介绍: Accounts of Chemical Research presents short, concise and critical articles offering easy-to-read overviews of basic research and applications in all areas of chemistry and biochemistry. These short reviews focus on research from the author’s own laboratory and are designed to teach the reader about a research project. In addition, Accounts of Chemical Research publishes commentaries that give an informed opinion on a current research problem. Special Issues online are devoted to a single topic of unusual activity and significance. Accounts of Chemical Research replaces the traditional article abstract with an article "Conspectus." These entries synopsize the research affording the reader a closer look at the content and significance of an article. Through this provision of a more detailed description of the article contents, the Conspectus enhances the article's discoverability by search engines and the exposure for the research.
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