营养流行病学中测量误差的调查
Measurement Error in Nutritional Epidemiology: A Survey
摘要：
本文综述了营养流行病学领域暴露变量测量误差的偏倚校正模型。测量误差通常使估计的斜率向零衰减。由于测量误差的影响，参数估计的推断偏于保守，斜率参数的置信区间过窄。估计量和置信区间的偏差校正是主要的兴趣。本文综述了以下偏倚校正模型：回归校正方法、基于似然的模型、缺失数据模型、基于模拟的方法、非参数模型和基于抽样的方法。
英文摘要：
This article reviews bias-correction models for measurement error of exposure variables in the field of nutritional epidemiology. Measurement error usually attenuates estimated slope towards zero. Due to the influence of measurement error, inference of parameter estimate is conservative and confidence interval of the slope parameter is too narrow. Bias-correction in estimators and confidence intervals are of primary interest. We review the following bias-correction models: regression calibration methods, likelihood based models, missing data models, simulation based methods, nonparametric models and sampling based procedures.
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