Effects of approximation in exposure assessments on estimates of exposure- response relationships.
Effects of approximation in exposure assessments on estimates of exposure- response relationships.
复制标题
暴露评估中的近似对暴露-反应关系估计的影响。
DOI：
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发表时间：
1982
期刊：
影响因子：
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通讯作者：
D. Oakes
中科院分区：
文献类型：
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作者：
B. Armstrong;D. Oakes
关于职业群体的队列研究中暴露的信息往往非常不完整。如果试图评估暴露水平，它们不可避免地会受到随机误差的影响。即使在没有偏向的情况下，这种测量误差也会在对曝光-反应关系的估计中引起偏差。由于只有在某些情况下才有实用的技术来解释这种影响，在这些情况下可以连续测量反应，因此需要开发一种适合于死亡率研究的技术。在本报告中，描述了一种程序，用于减少由于从队列死亡率研究中估计的暴露-反应关系中的随机误差而产生的偏差。这一程序以调整暴露评估的机制为基础，考虑到暴露的分布和测量误差的独立估计分布。通过对一些模拟数据集的分析，给出了初始偏差及其减小的结果。介绍了将该技术应用于石棉工人队列死亡率研究的结果。
Information on exposure in cohort studies of occupational groups is often very incomplete. If assessments of exposure level are attempted, they are inevitably subject to random error. Even when unbiased, such measurement error can give rise to bias in an estimate of an exposure-response relationship. Since practical techniques exist to account for this effect only in certain situations where response may be measured on a continuous scale, a technique suitable for mortality studies needs developing. In the present report a procedure is described for reducing the bias due to random error in the estimated exposure-response relationship from a cohort mortality study. This procedure is based on a mechanism for adjusting exposure assessments, taking into account the distribution of exposures, and the independently estimated distribution of measurement errors. The initial bias and its reduction through analysis is shown for some simulated data sets. The results of applying this technique to a cohort mortality study of asbestos workers are presented.