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用Logistic回归模型估计病例—对照研究中危险因素的人群归因危险度 被引量:4

LOGISTIC MODEL ESTIMATION OF POPULATION ATTRIBUTABLE RISK FOR MULTIPLE RISK FACTORS IN CASE-CONTROL DATA
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摘要 本文讨论用Logistic回归模型估计乳腺癌病例—对照研究中危险因素人群归因危险度的方法,并计算出上海市区女性乳腺癌四个主要危险因素,即产次、初次活产年龄、月经初潮年龄、乳腺既往疾病史调整的人群归因危险度分别为0.2332、0.1974、0.1777、0.0586,四个因素总的人群归因危险度为0.4949。文章还讨论了用多元统计方法估计多因素疾病人群归因危险度的优越性。 This paper presented a Logistic regression method for estimating populationattributable risk (AR) fraction using the data from a women breast cancer case-controlstudy in Shanghai, which involved 429 pairs of cases and controls. The summary attribu-table risk fraction for four main factors was 0.4949, and the adjusted attributable riskfraction for the number of Full Term Pregnancy(FTP), age at FTP, age at menarche,history of breast disease, were 0.2332, 0.1941, 0.1777 and 0.0586 respectively. The paperalso discussed the advantages of the multivariate method in estimating the attributablerisk.
出处 《肿瘤》 CAS CSCD 北大核心 1992年第6期246-248,共3页 Tumor
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