Analysis of Case-Control Follow-Up Studies

病例对照随访研究分析

• 批准号: 6934585
• 负责人: Marshall M Joffe
• 金额: $ 17.31万
• 依托单位: UNIVERSITY OF PENNSYLVANIA
• 依托单位国家: 美国
• 财政年份: 2004
• 资助国家: 美国
• 起止时间: 2004-08-09 至 2007-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/6934585
• 关键词: bias; clinical research; computer data analysis; computer simulation; diagnosis design /evaluation; disease /disorder proneness /risk; experimental designs; human data; kidney disorder; longitudinal human study; mammography; method development; pathologic process; spontaneous abortion; statistics /biometry

DESCRIPTION (provided by applicant): The case-control follow-up (CCFU) study is a hybrid design, a combination of case control and cohort or follow-up studies. In such studies, a cohort is monitored for early or sentinels events, which are closely associated with some outcome of interest (e.g., diagnosis of breast cancer); information is obtained on all subjects developing the sentinel events, and on a sample of the remaining subjects. Subjects developing the sentinel event (and sometimes other subjects) are then followed prospectively for an event of interest (e.g., death from breast cancer). The design has been employed in studies of the efficacy of cancer screening and of spontaneous abortion but has generally been mistaken for a case-control design. The purpose of this project is to advance understanding of the design and improve inference derived from it. This will be done by 1) developing a general notation and theory for describing these studies; 2) applying and developing appropriate statistical methods for analyzing data arising from these studies; and 3) comparing various approaches for analyzing these studies. We have identified two main general statistical approaches for these studies: one we term the direct approach and the other we call the synthetic approach. We propose to elaborate these approaches, and then consider how to deal with biases that may arise in each of them. New and familiar methods will be assessed through simulation, through application to several CCFU studies, and through artificial generation of CCFU studies by sampling from cohort studies.

描述（由申请方提供）：病例对照随访（CCFU）研究是一项混合设计，结合了病例对照和队列或随访研究。在这些研究中，监测队列的早期或哨兵事件，这些事件与一些感兴趣的结果密切相关（例如，乳腺癌的诊断）;获得关于发生前哨事件的所有受试者的信息，以及关于剩余受试者的样本的信息。然后对发生前哨事件的受试者（有时是其他受试者）进行前瞻性随访，以了解感兴趣的事件（例如，死于乳腺癌）。 该设计已被用于癌症筛查和自然流产的有效性研究，但通常被误认为是病例对照设计。本项目的目的是通过以下方式促进对设计的理解并改进由此得出的推论：1）开发描述这些研究的通用符号和理论; 2）应用和开发适当的统计方法来分析这些研究产生的数据; 3）比较分析这些研究的各种方法。 我们已经确定了这些研究的两个主要的一般统计方法：一个我们称之为直接方法，另一个我们称之为综合方法。我们建议详细阐述这些方法，然后考虑如何处理可能出现的偏见，在每一个。新的和熟悉的方法将通过模拟，通过应用于几个CCFU研究，并通过从队列研究中抽样人工生成CCFU研究进行评估。