Study for Prognosis and Survival Rate of Ovarian Cancer

被引：1

作者：

Hanjun YU ^{[1
]}

Zhaonan LI ^{[2
]}

Wei ZHU ^{[3
]}

Xiangzhong FANG ^{[2
]}

机构：

[1] School of Statistics, Capital University of Economics and Business

[2] School of Mathematical Sciences, Peking University

[3] China Astronautics Standards Institute

来源：

Acta Mathematicae Applicatae Sinica | 2018年 / 34卷 / 04期

关键词：

ovarian cancer; Cox proportional hazards model; two-step Cox regression; conditional inference tree; survival rate;

D O I：

暂无

中图分类号：

R737.31 [卵巢肿瘤];

学科分类号：

100214 ;

摘要：

In this paper, we analyze ovarian cancer cases from six hospitals in China, screen the prognostic factors and predict the survival rate. The data has the feature that all the covariates are categorical. We use three methods to estimate the survival rate–the traditional Cox regression, the two-step Cox regression and a method based on conditional inference tree. By comparison, we know that they are all effective and can predict the survival curve reasonably. The analysis results show that the survival rate is determined by a combination of risk factors, where clinical stage is the most important prognosis factor.

引用

页码：718 / 729

页数：12

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