Global hypothesis test to compare the likelihood ratios of multiple binary diagnostic tests with ignorable missing data

被引:0
|
作者
Eugenia Marin-Jimenez, Ana [1 ]
Antonio Roldan-Nofuentes, Jose [1 ]
机构
[1] Univ Granada, Dept Stat, E-18071 Granada, Spain
关键词
Global hypothesis test; partial verification; positive and negative likelihood ratio; VERIFICATION; BIAS;
D O I
暂无
中图分类号
C93 [管理学]; O22 [运筹学];
学科分类号
070105 ; 12 ; 1201 ; 1202 ; 120202 ;
摘要
In this article, a global hypothesis test is studied to simultaneously compare the likelihood ratios of multiple binary diagnostic tests when in the presence of partial disease verification the missing data mechanism is ignorable. The hypothesis test is based on the chi-squared distribution. Simulation experiments were carried out to study the type I error and the power of the global hypothesis test when comparing the likelihood ratios of two and three diagnostic tests respectively. The results obtained were applied to the diagnosis of coronary stenosis.
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页码:305 / 323
页数:19
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