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作者机构:Indiana Univ Sch Med Div Biostat Indianapolis IN 46202 USA Indiana Univ Sch Med Dept Psychiat Indianapolis IN 46202 USA
出 版 物:《STATISTICS IN MEDICINE》 (医学统计学)
年 卷 期:2000年第19卷第11-12期
页 面:1523-1530页
核心收录:
学科分类:0710[理学-生物学] 1004[医学-公共卫生与预防医学(可授医学、理学学位)] 1001[医学-基础医学(可授医学、理学学位)] 0714[理学-统计学(可授理学、经济学学位)] 10[医学]
基 金:NIA NIH HHS [P30 AG10133-06 R01 AG09956-06] Funding Source: Medline
主 题:Alzheimer Disease epidemiology Neuropsychological Tests 神经心理学测验 expectation-maximisation algorithm Statistical analysis PHASE STUDIES Misclassification Neuropsychological Tests Risk Factors Odds Ratio
摘 要:Epidemiological studies of Alzheimer s disease and dementia are often two-phase studies including a screening phase and a clinical assessment phase. It is common to interview a relative of the subject at each of these phases to obtain information about the subject s exposure to risk factors. This can result in a misclassification error when assessing risk factors, as the two responses of the relative often differ. This is especially a problem for risk factors involving life-style and family history which cannot be confirmed using the subject s medical records. A naive analysis using data from each phase separately would give two different estimates of the odds ratio;both estimates could be biased. In this paper, we extend the estimation methods adjusting for misclassification developed by Liu and Liang to data collected through two-phase sampling. We first use a latent class analysis and the EM algorithm to estimate the misclassification parameters. We then derive the maximum pseudo-likelihood estimators, conditional on the misclassification parameters, to estimate the odds ratios accounting for the complex sampling study design. We propose to use the jack-knife estimator for estimation of the variances. We apply the above method to data collected in the Indianapolis-Ibadan Dementia Study to estimate the odds ratio for smoking adjusting for misclassification error. Copyright (C) 2000 John Wiley & Sons, Ltd.