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周宝森, 何安光, 刘可立, 朱丽霞, 孟凌慧. 各型肺癌预后因素分析及预后生存函数预测[J]. 中国公共卫生, 1998, 14(7): 394-396.
引用本文: 周宝森, 何安光, 刘可立, 朱丽霞, 孟凌慧. 各型肺癌预后因素分析及预后生存函数预测[J]. 中国公共卫生, 1998, 14(7): 394-396.
Zhou Baosen, . Analysis of Lung Cancer PmgnosticFactor; and Prediction of Survival Time of Lung Cancer by COX Regression Model[J]. Chinese Journal of Public Health, 1998, 14(7): 394-396.
Citation: Zhou Baosen, . Analysis of Lung Cancer PmgnosticFactor; and Prediction of Survival Time of Lung Cancer by COX Regression Model[J]. Chinese Journal of Public Health, 1998, 14(7): 394-396.

各型肺癌预后因素分析及预后生存函数预测

Analysis of Lung Cancer PmgnosticFactor; and Prediction of Survival Time of Lung Cancer by COX Regression Model

  • 摘要: 应用COX比例风险模型,针对各病理类型的不同治疗原则,详细分析了鳞癌?腺癌?小细胞癌的预后因素?并根据COX模型所得的偏回归系数,建立了各型肺癌预后预测的生存概率函数模型?对不同状态下的患者,在不同生存时期,可进行生存函数概率估计?

     

    Abstract: A multivariate analysis of 551 lung cancer inpatients of prognostic fackors has been conducked by Cox proportional hazard model. Thess prognostic fackors of main types of lung amcer have been analyzed in detail such as sduarnous and adenocarcinoma and small cell carcinoma, in order to provide the rules of treatment for different types of lung cancer.The survival funvtions, which were used the predickion for different types of lung cancer, have been built according to thier respective regession coefficient of Cox model and the estimation of n year survival rate of a patient in defined condition at different stages of survival can be predicted from the survival funvtions.The data is scientic evidences to choose the methods of treatment for dinic doctors and to know the prognostic information of lung canczr for patients and their relation.This study is aims at the evaluation of prognostic fackors in different types of Loung cancer and the effect of prognostic factors in differents types of lung canczr on survial times.Furtherrmore, we shall increase the survival rate of lung cancer.

     

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