Whittemore A S
Department of Family, Community and Preventive Medicine, Stanford University School of Medicine, California 94305.
Stat Med. 1988 Jan-Feb;7(1-2):223-38. doi: 10.1002/sim.4780070124.
This paper describes a method for adjusting the analysis of occupational/environmental lung cancer risks for the effects of cigarette smoking in cohort and case-control studies. The method uses a function that relates an individual's death rate to his age and cigarette smoking history. Two such functions are examined. The first depends on total packs of cigarettes smoked and age. The second, based on the multistage theory of carcinogenesis, depends on age, age at start of smoking, and subsequent smoking rates. The lung cancer rates predicted by these two functions are compared to those observed in cohort studies of male British physicians and U.S. veterans, and in a case-control study of non-Hispanic white men in New Mexico. Neither of the cohort data sets distinguished the fit of the two functions. The New Mexico data were fit better by the second function, though both functions overpredicted death rates among ex-smokers. Each function explained substantially more variation in the New Mexico data than did any of several logistic regression models involving categorical variables for age and smoking.
本文描述了一种在队列研究和病例对照研究中,针对吸烟影响来调整职业性/环境性肺癌风险分析的方法。该方法使用一个将个体死亡率与年龄和吸烟史相关联的函数。研究了两个这样的函数。第一个函数取决于吸烟的总包数和年龄。第二个函数基于癌症发生的多阶段理论,取决于年龄、开始吸烟的年龄以及随后的吸烟率。将这两个函数预测的肺癌发病率与在英国男性医生和美国退伍军人的队列研究中以及新墨西哥州非西班牙裔白人男性的病例对照研究中观察到的发病率进行比较。两个队列数据集均未区分这两个函数的拟合情况。新墨西哥州的数据与第二个函数的拟合度更好,不过两个函数都高估了已戒烟者的死亡率。每个函数对新墨西哥州数据变化的解释都比涉及年龄和吸烟分类变量的几个逻辑回归模型中的任何一个要多得多。