Survival Analysis Using Additive Risk Models.

机译：使用附加风险模型的生存分析。

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Cox's (1972) proportional hazards model has so far been the most popular model for the regression analysis of censored survival data. However, the additive risk model of Aalen (1980) provides a useful and biologically more plausible alternative when large sample size makes it application feasible. Let lambda(t,Y) be the hazard function for a subject whose covariates are given by Y = (Y sub 1,...,Y sub p). Aalen's model stipulates that lambda(t) =Y alpha(t), where alpha = (alpha sub 1,..., alpha sub p) is an unknown vector of hazard functions. This paper discusses inference for alpha sub 1,..., alpha sub p) based on continuous and grouped data. Asymptotic distribution results are developed using the theory of counting and used to provide confidence bands for the cumulative hazard functions. The method is applied to data on the incidence of cancer mortality among Japanese atomic bomb survivors. Keywords: Monte Carlo method; Multivariate analysis; Martingale methods.

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Huffer, F. W.; McKeague, I. W.;
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年度 1987
页码 1-41
总页数 41
原文格式 PDF
正文语种 eng
中图分类工业技术;
关键词
: Monte Carlo method; Multivariate analysis; Martingale methods.;

机译：：蒙特卡罗方法;多变量分析;鞅方法。;

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8. Survival Analysis Using Additive Risk Models. [R] . Huffer, F. W., McKeague, I. W. 1987

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Survival Analysis Using Additive Risk Models.

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