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删失条件下 Kendall's tau 的一致性
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.
由 Dabrowska 关联度量生成的 copula 模型
We propose a new archimedean copula model for bivariate survival data that is motivated by Dabrowska's (1988) measure of association. The model can represent negatively correlated or moderately positively correlated data but not highly positively correlated data. Local and global measures of association are calculated. A generalisation is presented.
Biometrika 百年回顾：生存分析
Although papers relating to survival analysis have appeared in Biometrika since the very first issue, the current emphasis on the topic in this journal is fairly new, especially as it relates to applications in biostatistics. This survey traces the development of survival analysis throughout the twentieth century as reflected in the pages of Biometrika, focusing primarily on work published since 1980.
通过EM算法直接计算信息矩阵
Summary A simple explicit formula is provided for the matrix of second derivatives of the observed data log-likelihood in terms of derivatives of the criterion function (conditional expectation of the complete data log-likelihood given the observed data) invoked by the EM algorithm.