de Klerk N H, English D R, Armstrong B K
Department of Medicine, University of Western Australia.
Int J Epidemiol. 1989 Sep;18(3):705-12. doi: 10.1093/ije/18.3.705.
Many articles in the recent epidemiological literature have discussed the effects of random error and misclassification on effect estimation, but many of these have been unclear and hard to follow. This paper reviews and interprets many of these and summarizes the use of the correlation coefficient in assessing the likely effect of measurement error on relative risk estimates for variables that are either continuous or ordered. A table of expected values of relative risks (RRs) calculated in different ways for different levels of random error is presented and the typically large expected attenuation in RR values is shown. The recommendation of taking repeated or multiple measurements whenever possible is endorsed.
近期流行病学文献中的许多文章都讨论了随机误差和错误分类对效应估计的影响，但其中许多文章都不够清晰，难以理解。本文回顾并解读了其中的许多文章，并总结了相关系数在评估测量误差对连续或有序变量相对风险估计可能产生的影响时的应用。文中给出了针对不同水平随机误差以不同方式计算的相对风险（RR）期望值表，并展示了RR值通常会出现的较大预期衰减情况。本文赞同尽可能进行重复测量或多次测量的建议。
