Izmirlian G, Brock D, White L
Epidemiology Demography and Biometry Program, National Institute on Aging, National Institutes of Health, Gateway Bldg, Suite 3C-309, 7201 Wisconsin Ave, Bethesda, MD 20892-9205, USA.
Stat Med. 2000;19(11-12):1577-91. doi: 10.1002/(sici)1097-0258(20000615/30)19:11/12<1577::aid-sim447>3.0.co;2-q.
In many community-based studies on the incidence of dementia, a target population is screened and a subsample is clinically evaluated at baseline and follow-up. Incidence rates are affected by missed cases at both exams and this complicates the estimation of these rates. Recent work proposes a regression-based technique for joint estimation of prevalence and incidence and suggests the use of surrogate information obtained on the entire cohort at both times to calculate the expected score equation contribution for individuals missing clinical exams at one or both times. This helps to quantify the impact of missed diagnosis upon the incidence estimates and their confidence intervals. We extend this work to the setting of subtypes of dementia for use in the Honolulu-Asia Aging Study on incidence of dementia. The technique is applied using two separate models for the effect of age on dementia incidence. Subsequently, shrinkage estimation methods are applied to provide more precise estimates of the rates. Published in 2000 by John Wiley & Sons, Ltd.
在许多基于社区的痴呆症发病率研究中，会对目标人群进行筛查，并在基线和随访时对一个子样本进行临床评估。发病率受到两次检查中漏诊病例的影响，这使得这些发病率的估计变得复杂。最近的研究提出了一种基于回归的技术，用于联合估计患病率和发病率，并建议使用在两个时间点从整个队列中获得的替代信息，来计算在一次或两次临床检查中缺失的个体的预期得分方程贡献。这有助于量化漏诊对发病率估计及其置信区间的影响。我们将这项工作扩展到痴呆症亚型的情况，用于檀香山亚洲老年痴呆症发病率研究。该技术通过使用两个单独的模型来应用年龄对痴呆症发病率的影响。随后，应用收缩估计方法来提供更精确的发病率估计。由约翰·威利父子有限公司于2000年出版。
