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机构地区:[1]成都市武侯区卫生防疫站 [2]华西医科大学卫生统计教研室
出 处:《现代预防医学》1998年第1期31-32,共2页Modern Preventive Medicine
摘 要: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。 By analyzing data gathered from a lung cancer cohort study,this report employed multivariate Logistic regression and LogLinear model to explore the interaction of lung cancer risk factors.The result showed that the highrisk factors were cigarette smoking,chronic bronchitis and occupational factors such as dust,radon daughters.There were no interaction between two factors by Logistic regression.The LogLinear model analysis showed that personal factors,like smoking and chronic bronchitis had a high-level interaction with occupational risk factors.
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