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本文利用７３５４名肺癌高危对象的队列研究资料，采用多元Ｌｏｇｉｓｔｉｃ回归和对数线性模型对肺癌高发的危险因素及因素间的交互作用进行了统计分析。结果表明：吸烟、慢性支气管炎史和接触粉尘、砷、氡子体等职业危险因子是当地肺癌高发的主要危险因素；Ｌｏｇｉｓｔｉｃ回归分析没有发现两因素之间有显著意义的交互作用；对数线性模型分析进一步提示上述因素间存在高阶的交互效应。
In this study, seven hundred and forty-four high-risk lung cancer cohort study data were used to analyze the risk factors of high risk of lung cancer and the interactions between the factors using multiple logistic regression and log-linear models. The results showed that occupational risk factors such as smoking, chronic bronchitis history and exposure to dust, arsenic, and radon daughters were the main risk factors for the high incidence of local lung cancer; Logistic regression analysis did not find significant interaction between the two factors; log-linear Model analysis further suggests that there are high-order interactions among the above factors.