Bias in occupational epidemiology studies
Bias in occupational epidemiology studies
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DOI：
10.1136/oem.2006.026690
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发表时间：
2007-08-01
影响因子：
4.9
通讯作者：
Kriebel, David
中科院分区：
文献类型：
--
作者：
Pearce, Neil;Checkoway, Harvey;Kriebel, David
职业流行病学研究的设计应基于尽量减少随机误差和系统误差的需要。后者是本文的重点，包括选择偏差、信息偏差和混杂因素。通过获得高应答率（以及通过在病例对照研究中适当选择对照组）可以最大限度地减少选择偏差。一般来说，通过以标准化方式收集数据，确保信息偏差最小化并且无差异（例如，暴露的错误分类与疾病状态无关）非常重要。职业流行病学研究中的一个主要问题通常与混杂因素有关，因为暴露没有被随机分配，因此所研究的群体可能具有不同的基线疾病风险。对于每种类型的偏倚，目标应该是通过适当的研究设计和/或分析中的适当控制来避免偏倚。然而，尝试评估无法避免或控制的偏见的可能方向和强度也很重要。
The design of occupational epidemiology studies should be based on the need to minimise random and systematic error. The latter is the focus of this paper, and includes selection bias, information bias and confounding. Selection bias can be minimised by obtaining a high response rate (and by appropriate selection of the control group in a case-control study). In general, it is important to ensure that information bias is minimised and is also non-differential (for example, that the misclassification of exposure is not related to disease status) by collecting data in a standardised manner. A major concern in occupational epidemiology studies usually relates to confounding, because exposure has not been randomly allocated, and the groups under study may therefore have different baseline disease risks. For each of these types of bias, the goal should be to avoid the bias by appropriate study design and/or appropriate control in the analysis. However, it is also important to attempt to assess the likely direction and strength of biases that cannot be avoided or controlled.