Am J Epidemiol. 2014 Mar 1;179(5):641-7. doi: 10.1093/aje/kwt309. Epub 2013 Dec 18.
In studies of the health effects of asbestos, lung cancer death is subject to misclassification. We used modified maximum likelihood to explore the effects of outcome misclassification on the rate ratio of lung cancer death per 100 fiber-years per milliliter of cumulative asbestos exposure in a cohort study of textile workers in Charleston, South Carolina, followed from 1940 to 2001. The standard covariate-adjusted estimate of the rate ratio was 1.94 (95% confidence interval: 1.55, 2.44), and modified maximum likelihood produced similar results when we assumed that the specificity of outcome classification was 0.98. With sensitivity assumed to be 0.80 and specificity assumed to be 0.95, estimated rate ratios were further from the null and less precise (rate ratio = 2.17; 95% confidence interval: 1.59, 2.98). In the present context, standard estimates for the effect of asbestos on lung cancer death were similar to estimates accounting for the limited misclassification. However, sensitivity analysis using modified maximum likelihood was needed to verify the robustness of standard estimates, and this approach will provide unbiased estimates in settings with more misclassification.
在石棉对健康影响的研究中,肺癌死亡可能存在分类错误。我们使用改良最大似然法,探索了在南卡罗来纳州查尔斯顿市纺织工人队列研究中,结局分类错误对每毫升累计石棉暴露纤维年数导致的肺癌死亡率比率比(rate ratio)的影响,该队列从 1940 年随访至 2001 年。在调整了标准协变量后,肺癌死亡率比率比的标准估计值为 1.94(95%置信区间:1.55,2.44),当我们假设结局分类的特异性为 0.98 时,改良最大似然法也得到了类似的结果。当我们假设敏感性为 0.80,特异性为 0.95 时,估计的比率比离零更远,且精度更低(比率比=2.17;95%置信区间:1.59,2.98)。在目前的情况下,标准估计值与考虑到有限分类错误的估计值相似。然而,需要使用改良最大似然法进行敏感性分析来验证标准估计值的稳健性,并且在分类错误较多的情况下,这种方法将提供无偏估计值。