On Estimating Incidence Rates of Diseases with Delayed Onset Using Biased Samples
利用有偏样本估计迟发性疾病发病率AI 解读 ↓
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分类依据与纠错
AI 根据所提供的论文材料归类：摘要研究有偏抽样与删失下的疾病发病率估计，未涉及指定的微观分布效应或其他细分研究框架。
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利用有偏样本估计迟发性疾病发病率
- 研究问题
- 家庭或群体通过患病成员进入样本，并存在删失时，如何一致估计迟发性疾病的年龄别和终生发病率？
- 方法与思路
- 作者采用离散时间模型及大小偏倚抽样的传统假设，构造发病率估计量，并调整 Greenwood 公式估计渐近方差。
- 材料陈述的贡献
- 摘要称建立一致性和渐近正态性，指出常用指示病例估计量可能不一致，并给出其一致性的充要条件。
- 阅读关注点
- 阅读时应核对大小偏倚抽样假设、删失处理、指示病例估计量一致性的充要条件，以及家庭抽样应用的适用范围。
- 阅读边界
- 仅据版本未注明的 OpenAlex 索引摘要；关键抽样假设和充要条件未展开，不能据摘要重新判断具体调查的偏差程度。
原文摘要
Consistent estimators are derived for the age-specific and lifetime incidence rates of late-onset diseases from censored, biased samples, using a discrete time model and a traditional assumption for size-biased sampling. The estimators are alternatives to the so-called index case estimators often used by epidemiologists under similar circumstances. The asymptotic normality of the proposed estimators is established and an adaptation of Greenwood's formula is given for estimating and comparing their asymptotic variances. We show that index case estimators can be inconsistent and find a necessary and sufficient condition for their consistency. The results are applicable in the study of familial aggregation of diseases that are not manifest at birth when the sample consists of families identified through a family member who has the disease of interest. A survey of families of nursing home patients with a narrowly defined form of Alzheimer's disease, undertaken to clarify its mode of inheritance is an example of such a study. Our work shows a possible lack of consistency of the estimators obtained in that study and in other similar studies. Besides familial aggregation, the results may also be applicable to the study of slowly working environmental causes of a disease insofar as they affect individuals as members of special groups, identified through some of their diseased members; for example, factory workers exposed to certain toxic materials.