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本文使用病例对照研究方法,按照同性别、年龄相差2岁以内的匹配条件,调查了原发性肺癌的新病例、其它恶性肿瘤及非肿瘤病例各100例。分析方法:1、用Mantel-Haenszel法。2、用1:1条件Logistic回归分析法。3、用1:2条件Logistic回归分析方法。三种分析方法处理结果是存在着差异的。用Mantel-Haenszel结果有显著意义的因素男性有吸烟、做饭、慢性气管炎病史和精神创伤史。女性为吸烟、慢性气管炎病史、精神创伤史和生活用煤。肺癌与其它癌的1:1条件Logistic回归结果有显著意义的因素男性是吸烟,女性有吸烟和生活用煤。肺癌与非肿瘤的1:1条件Logistic回归结果有显著意义因素男性有吸烟、做饭和精神创伤史,女性有慢性气管炎病史。用1:2条件Logistic回归结果有显著意义的因素男性有吸烟、精神创伤史和慢性气管炎病史,女性有生活用煤、吸烟和精神创伤史上述几种方法的结果应以1:2条件Logistic回归分析结果为依据。
In this study, a case-control study was conducted to investigate 100 new cases of primary lung cancer and 100 cases of other malignant and non-neoplastic cases according to the matching conditions of the same sex and age within 2 years of age. Analysis: 1, Mantel-Haenszel method. 2, using 1: 1 conditional Logistic regression analysis. 3, using 1: 2 conditional Logistic regression analysis. The results of the three analytical methods are different. Mentel-Haenszel Results Significant Factors Men have history of smoking, cooking, chronic bronchitis, and trauma. Women are smoking, history of chronic bronchitis, history of trauma and life coal. Lung cancer and other cancerous 1: 1 conditional Logistic regression results were significant factors in men smoking, women smoking and living coal. Lung cancer and non-tumor 1: 1 conditional Logistic regression results have significant factors Men have smoking, cooking and trauma history, women have a history of chronic bronchitis. Logistic regression results with 1: 2 significant factors Male smoking, trauma history and history of chronic bronchitis, women living with coal, smoking and trauma history The results of the above methods should be 1: 2 conditions Logistic Regression analysis based on the results.