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条件Logistic回归模型在肺癌病因研究中的应用

APPLICATION OF CONDITIONAL LOGISTICAL REGRESSION MODEL TO THE STUDY OF THE PATHOGENCY OF LUNG CANCER
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摘要 1988~1989年间对锦州医学院附属医院、锦州市肿瘤医院等几所市级医院的原发性肺癌的新病例作为病例组,以同数量符合匹配条件的非肿瘤病例作为对照。研究因素有被调查者的一般情况、烟酒嗜好、饮食习惯、个人患病史、婚姻及生育史,社会生活和遗传因素等。应用条件 Logistic 方法进行回归分析。结果表明:主要危险因素依次为吸烟、精神创伤史、慢性气管炎病史及毒物接触史。本文可为锦州地区肺癌的防治工作提供科学依据。 From 1988 to 1989,we studied 103 new cases of primary lung cancer of the Patients admitted into the city-level hospitals,by means of case-control study of matched cases,in order to study the factors of incidene.In the control group was the same number of non-tumour cases which accorded with the matc- heel conditions.The factors studied were:general condition,smoking and drin- king,diet habit,individual disease history,marriage and birth history,soci- allife psychology,genetic factors,etc. By using the conditional logistical regression analysis,the result showed that the risk of lung cancer was in order of smoking,heavy paychic trauma, chronic tracheobronchitis,and exposure to poison.This paper provides Jinzhou Disrict with scientific evidence for the prevention,and treatment of lung canc- er.
出处 《锦州医学院学报》 1989年第4期211-215,共5页 Journal of Jinzhou Medical College
关键词 回归模型 肺癌 病因 conditional logistical regression a case-control study lung cancer
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