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慢性病筛查简化模型:大规模筛查项目的估计程序

Simplified models of screening for chronic disease: estimation procedures from mass screening programmes.

作者信息

Day N E, Walter S D

出版信息

Biometrics. 1984 Mar;40(1):1-14.

PMID:6733223
Abstract

The performance of a screening programme depends on a number of parameters, which may need different types of information for their estimation. In this paper, two characteristics of interest, the sojourn-time distribution and the sensitivity, are considered, and estimation procedures, based on data which should be available from a mass screening programme, are proposed. The methods are applied to published data from the HIP breast cancer screening project, to which a negative exponential distribution for the sojourn-time distribution fitted better than the other families of distribution considered.

摘要

筛查项目的性能取决于多个参数,对这些参数进行估计可能需要不同类型的信息。本文考虑了两个感兴趣的特征,即停留时间分布和灵敏度,并基于大规模筛查项目应能获取的数据提出了估计程序。这些方法应用于来自HIP乳腺癌筛查项目的已发表数据,对于该项目,停留时间分布采用负指数分布比其他所考虑的分布族拟合得更好。

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