A toolkit for measurement error correction, with a focus on nutritional epidemiology.
A toolkit for measurement error correction, with a focus on nutritional epidemiology.
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DOI：
10.1002/sim.6095
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发表时间：
2014-05-30
影响因子：
2
通讯作者：
White, Ian R.
中科院分区：
文献类型：
--
作者：
Keogh, Ruth H.;White, Ian R.
关键词：
暴露测量误差是许多流行病学研究中的一个问题，包括那些使用生物标志物和饮食摄入测量的研究。测量误差通常会导致对暴露-疾病关联的估计有偏差，偏差的严重程度和性质取决于误差的形式。为了纠正测量误差的影响，需要主要研究数据之外的信息。理想情况下，这是一个验证样本，其中观察到真实的暴露。然而，在许多情况下，观察真实的暴露是不可实现的，但可能有一个或多个重复的暴露测量，例如，在两个时间点记录血压或饮食摄入量。本文的目的是为使用重复测量的测量误差校正提供一个工具包。我们汇集了涵盖经典测量误差和几种偏离经典误差的方法：系统误差、异方差误差和微分误差。所考虑的校正方法有回归校正和矩重构及多次插值，前者在经典误差设置中已得到广泛应用，后者是较新的方法，具有处理微分误差的能力。强调该方法在营养流行病学等领域的实际应用。我们主要在暴露-结果模型中考虑连续暴露，但我们也概述了连续暴露分类时使用的方法。这些方法是用一项关于纤维摄入量与结直肠癌之间关系的研究数据来说明的，该研究使用饮食日记来测量纤维摄入量，并对一个子集进行重复测量。©2014作者。
Exposure measurement error is a problem in many epidemiological studies, including those using biomarkers and measures of dietary intake. Measurement error typically results in biased estimates of exposure-disease associations, the severity and nature of the bias depending on the form of the error. To correct for the effects of measurement error, information additional to the main study data is required. Ideally, this is a validation sample in which the true exposure is observed. However, in many situations, it is not feasible to observe the true exposure, but there may be available one or more repeated exposure measurements, for example, blood pressure or dietary intake recorded at two time points. The aim of this paper is to provide a toolkit for measurement error correction using repeated measurements. We bring together methods covering classical measurement error and several departures from classical error: systematic, heteroscedastic and differential error. The correction methods considered are regression calibration, which is already widely used in the classical error setting, and moment reconstruction and multiple imputation, which are newer approaches with the ability to handle differential error. We emphasize practical application of the methods in nutritional epidemiology and other fields. We primarily consider continuous exposures in the exposure-outcome model, but we also outline methods for use when continuous exposures are categorized. The methods are illustrated using the data from a study of the association between fibre intake and colorectal cancer, where fibre intake is measured using a diet diary and repeated measures are available for a subset. © 2014 The Authors.
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