Development and evaluation of three-stage procedures for modelling exposure patterns in epidemiological studies

流行病学研究中暴露模式建模的三阶段程序的开发和评估

• 批准号: 391977161
• 负责人: Professorin Dr. Iris Pigeot
• 金额: --
• 依托单位: Leibniz-Institut für Präventionsforschung und Epidemiologie - BIPS GmbH
• 依托单位国家: 德国
• 项目类别: Research Grants
• 财政年份: 2018
• 资助国家: 德国
• 起止时间: 2017-12-31 至 2021-12-31
• 项目状态: 已结题
• 来源: https://gepris.dfg.de/gepris/projekt/391977161?language=en
• 关键词: Development; evaluation; three; stage; procedures

The interaction of various lifestyle-related factors contributes substantially to the development of multifactorial diseases such as diabetes, obesity and cancer. This project aims to develop a novel three-stage procedure (3-SP), and to investigate its properties and practical application, so as to improve the statistical analysis of the role of such factors in the development of diseases within the context of epidemiological studies. The 3-SP is specifically designed to address the growing complexity of available data, as methods traditionally employed in epidemiological studies fall short of this challenge. The growing complexity of the data is due to technical advances of recent years which enabled an increased validity of survey instruments. For instance, web-based 24-hour dietary recalls and wearable accelerometers are now routinely used to assess dietary intake and physical activity over a time period by frequent repeated measurements. To model the relation between exposure and outcome appropriately based on such high-dimensional data with intra-individual variation the 3-SP proceeds in three steps. At the first stage, the usual exposure is derived using error correction models accounting for intra-individual variation. This provides the basis for the second stage, where cluster models are used to assign individuals to exposure patterns which in turn are used at the third stage to model associations between such patterns and the outcome of interest using regression models. This multi-stage combination of different statistical methods gives rise to an error propagation which needs to be taken into account when investigating the properties of the final estimators. Furthermore, it needs to be addressed which method is most appropriate and feasible at each stage.Hence, the project will investigate the theoretical bias and the variance of estimators derived by combining different methods in the 3-SP; moreover, recommendations for the application of the 3-SP will be developed and its practical feasibility examined. To this end, error correction methods such as SIMEX will be considered, theoretical investigations and a simulation study will be conducted. The feasibility of the 3-SP methodology for practical applications will be investigated using data from the recently completed IDEFICS/I.Family studies. These studies provide cohort data on 16,228 European children aged 2 to 9.9 years. Due to the detailed phenotyping of the participating children the data offer a typical applied context for assessing the proposed methodology.

各种生活方式相关因素的相互作用在很大程度上促成了糖尿病、肥胖症和癌症等多因素疾病的发展。本项目旨在开发一种新的三阶段程序（3-SP），并研究其特性和实际应用，以便在流行病学研究的背景下改进对这些因素在疾病发展中的作用的统计分析。3-SP是专门为解决现有数据日益复杂的问题而设计的，因为流行病学研究中传统采用的方法无法应对这一挑战。数据日益复杂是由于近年来的技术进步使调查工具的有效性得以提高。例如，基于网络的24小时饮食回忆和可穿戴加速计现在通常用于通过频繁的重复测量来评估一段时间内的饮食摄入量和身体活动。为了基于具有个体内变异的这种高维数据适当地建模暴露与结果之间的关系，3-SP分三步进行。在第一阶段，通常的暴露量是使用误差校正模型来解释个体内的变化。这为第二阶段提供了基础，在第二阶段，使用聚类模型将个体分配到暴露模式，而暴露模式又在第三阶段使用回归模型对这些模式与感兴趣的结果之间的关联进行建模。这种不同统计方法的多阶段组合会产生误差传播，在研究最终估计量的属性时需要考虑到这一点。此外，还需要确定在每个阶段哪种方法最合适和最可行。因此，本项目将调查3-SP中不同方法组合得出的估计量的理论偏差和方差;此外，还将制定3-SP的应用建议，并对其实际可行性进行研究。为此，将考虑采用SIMEX等纠错方法，进行理论调查和模拟研究。将利用最近完成的IDEFICS/I.家庭研究的数据调查3-SP方法在实际应用中的可行性。这些研究提供了16，228名2至9.9岁欧洲儿童的队列数据。由于参与儿童的详细表型，数据提供了一个典型的应用背景下评估所提出的方法。

项目成果

SIMEX for correction of dietary exposure effects with Box‐Cox transformed data

SIMEX 通过 BoxâCox 转换数据校正饮食暴露影响

• DOI: 10.1002/bimj.201900066
• 发表时间: 2020
• 期刊: Biometrical Journal
• 影响因子: 1.7
• 作者: Intemann T;Mehlig K;De Henauw S;Siani A;Constantinou T;Moreno LA;Molnár D;Veidebaum T;Pigeot I on behalf of the I.Family consortium
• 通讯作者: Pigeot I on behalf of the I.Family consortium