Estimating an ROC curve in the presence of non-ignorable verification bias

作     者：Zhou, XH Rodenberg, CA 

作者机构：Indiana Univ Sch MedRegenstrief Inst Hlth Care Dept Med Div Biostat Bloomington IN 47405 USA Pfizer Inc Div Cent Res Div Biometr Groton CT 06340 USA 

出 版 物：《COMMUNICATIONS IN STATISTICS-THEORY AND METHODS》 (统计学通讯：理论与方法)

年 卷 期：1998年第27卷第3期

页      面：635-657页

核心收录：

学科分类：0202[经济学-应用经济学] 02[经济学] 020208[经济学-统计学] 07[理学] 0714[理学-统计学（可授理学、经济学学位）] 

基　　金：National Institute on Ag- 

主　　题：ML estimates accuracy screening test EM algorithm a non-MAR model missing data 

摘      要：Verification bias can occur in studies of test s accuracy if only some of tested patients receive disease verification. The current methods for correcting for verification bias assume conditional independence for verification, which means that the probability of verifying a patient depends only on the test result, not on the unobserved disease status of the patient.