The asymptotic distribution of the partial attributable risk in cross-sectional studies

被引:6
作者
Grömping, U
Weimann, U
机构
[1] TFH Berlin, FB 2, D-13353 Berlin, Germany
[2] Ford Werke AG, Cologne, Germany
关键词
partial attributable risk; partial attributable difference; asymptotic distribution; implicit function theorem; risk allocation; variance estimation;
D O I
10.1080/02331880412331292288
中图分类号
O21 [概率论与数理统计]; C8 [统计学];
学科分类号
020208 ; 070103 ; 0714 ;
摘要
The partial attributable risk (PAR) has been introduced as a too] for partitioning the responsibility for causing an adverse event between various risk factors. It has arisen from epidemiology, but it is also a valid general risk allocation concept. which can, for example. be applied to data from customer satisfaction surveys. So far, a variance formula for the PAR has been missing so that the confidence intervals were not directly available. This paper provides the asymptotic normal distribution for the PAR determined from a cross-sectional study.
引用
收藏
页码:427 / 438
页数:12
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