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双因素交叉设计中可靠性系数的两种置信区间方法。

Two confidence interval approaches on the dependability coefficient in a two-factor crossed design.

作者信息

Ting Naitee, Cappelleri Joseph C, Bushmakin Andrew G

机构信息

Pfizer Inc, Global Research & Development, New London, Connecticut, USA.

出版信息

J Biopharm Stat. 2009 Jul;19(4):610-24. doi: 10.1080/10543400902963201.

DOI:10.1080/10543400902963201
PMID:20183429
Abstract

For decisions based on the absolute level of performance among individuals, the dependability coefficient-a ratio of variance components-is used as a measure of reliability. Two methods developed for a two-factor random effects crossed (or one-facet) design-the Arteaga, Jeyaratnam, and Graybill (AJG) approach and the Cappelleri and Ting (CT) approach-are applied to construct confidence intervals on the dependability coefficient. A simulation study is conducted to investigate and compare the confidence interval coverage on the dependability coefficient based on AJG and CT. Both methods generally meet at least the nominal coverage. Both methods are illustrated with examples.

摘要

对于基于个体绩效绝对水平的决策,可靠性系数(一种方差分量的比率)被用作可靠性的度量。为两因素随机效应交叉(或单维)设计开发的两种方法——阿尔特亚加、杰亚拉特纳姆和格雷比尔(AJG)方法以及卡佩勒里和廷(CT)方法——被用于构建可靠性系数的置信区间。进行了一项模拟研究,以调查和比较基于AJG和CT的可靠性系数置信区间的覆盖范围。两种方法通常至少达到名义覆盖范围。通过示例对两种方法进行了说明。

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