首页    期刊浏览 2024年12月01日 星期日
登录注册

文章基本信息

  • 标题:Semiparametric Estimation of Hazard Function for Cancer Patients
  • 本地全文:下载
  • 作者:Ivana Horov\'{a} ; Zden\v{e}k Posp\'{i}\v{s}il ; Ji\v{r}\'{i} Zelinka
  • 期刊名称:Sankhya. Series A, mathematical statistics and probability
  • 印刷版ISSN:0976-836X
  • 电子版ISSN:0976-8378
  • 出版年度:2007
  • 卷号:69
  • 期号:03
  • 出版社:Indian Statistical Institute
  • 摘要:The main aim of this paper is to model and study the survival of cancer patients. First, a parametric form of hazard function is proposed. This model results from a recent model of cancer cells population dynamics given in the paper Kozusko and Bajzer (Mathematical Biosciences, 2003) and depends on several parameters. The method of estimating such parameters is described as well. On the other hand, the nonparametric methods seem to be appropriate for survival data. Among them, the methods of kernel estimation of hazard functions are very effective ones. But there is a serious difficulty with them, namely the choice of a smoothing parameter. We propose an alternative method for the bandwidth selection based on the aforementioned parametric method. The theory developed is applied to four data sets.
  • 关键词:Hazard function, kernel estimation, Gompertzian growth, parameter estimation.
国家哲学社会科学文献中心版权所有