无替换的嵌套病例对照抽样。

IF 1.2 3区 数学 Q3 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS
Lifetime Data Analysis Pub Date : 2024-10-01 Epub Date: 2024-09-05 DOI:10.1007/s10985-024-09633-y
Yei Eun Shin, Takumi Saegusa
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引用次数: 0

摘要

嵌套病例对照设计(NCC)是流行病学中一种具有成本效益的结果依赖型设计,它从一个大型队列中收集病例诊断时的所有病例和固定数量的对照。由于相对于完整队列研究效率较低,以往的研究开发了各种估算方法,但只有在考虑到部分似然估算可能存在偏差的情况下,才会在制定风险集时改变设计。在本文中,我们从提高效率和减少偏差的角度出发,研究了一种将先前选定的对照组排除在风险集中的改进设计。为此,我们扩展了 Samuelsen 的反概率加权法,该方法在标准设置中优于偏似然估计法。我们发展了该方法的渐近理论,并对回归系数和累积基线危险函数进行了方差估计,其中考虑到了修改后抽样设计的复杂特征。除了方差估计的有限样本性能良好外,模拟研究还表明,使用建议估计器的修正设计比标准设计更有效。本文使用美国国立卫生研究院-美国退休人员饮食与健康队列研究的数据进行了举例说明。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Nested case-control sampling without replacement.

Nested case-control sampling without replacement.

Nested case-control design (NCC) is a cost-effective outcome-dependent design in epidemiology that collects all cases and a fixed number of controls at the time of case diagnosis from a large cohort. Due to inefficiency relative to full cohort studies, previous research developed various estimation methodologies but changing designs in the formulation of risk sets was considered only in view of potential bias in the partial likelihood estimation. In this paper, we study a modified design that excludes previously selected controls from risk sets in view of efficiency improvement as well as bias. To this end, we extend the inverse probability weighting method of Samuelsen which was shown to outperform the partial likelihood estimator in the standard setting. We develop its asymptotic theory and a variance estimation of both regression coefficients and the cumulative baseline hazard function that takes account of the complex feature of the modified sampling design. In addition to good finite sample performance of variance estimation, simulation studies show that the modified design with the proposed estimator is more efficient than the standard design. Examples are provided using data from NIH-AARP Diet and Health Cohort Study.

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来源期刊
Lifetime Data Analysis
Lifetime Data Analysis 数学-数学跨学科应用
CiteScore
2.30
自引率
7.70%
发文量
43
审稿时长
3 months
期刊介绍: The objective of Lifetime Data Analysis is to advance and promote statistical science in the various applied fields that deal with lifetime data, including: Actuarial Science – Economics – Engineering Sciences – Environmental Sciences – Management Science – Medicine – Operations Research – Public Health – Social and Behavioral Sciences.
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