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A study of the efficacy of screening for breast cancer based on the Health Insurance Plan data.

机译:基于健康保险计划数据的乳腺癌筛查效果研究。

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摘要

In this thesis we would like to assess the benefit of screening in breast cancer detection. For this purpose, the Health Insurance Plan data will be analyzed.; If screening is beneficial, we expect to see higher early stage detection in the study group compare to the control group which hopefully will lead to a better survival probability.; Our analysis shows that there is a significantly higher combined stage I detection proportion in the study group compared to the control group (50.00% in the control group as opposed to 67.77% in the study group). Furthermore, the study group has a significantly lower proportion of breast cancer deaths than the control group. The Kaplan-Meier estimate shows that the study group has a better survival function than the control group. In addition to these, we shows that there exists no significant lead time. Lastly, we construct a Markov chain model for future analysis.
机译:在本文中,我们想评估筛查在乳腺癌检测中的益处。为此,将对健康保险计划数据进行分析。如果筛查是有益的,我们希望与对照组相比,研究组的早期检测率更高,有望带来更好的生存率。我们的分析表明,与对照组相比,研究组的联合I期检测比例显着更高(对照组为50.00%,研究组为67.77%)。此外,研究组的乳腺癌死亡比例明显低于对照组。 Kaplan-Meier估计显示,研究组比对照组具有更好的生存功能。除这些以外,我们表明没有明显的交货时间。最后,我们构建了马尔可夫链模型以供将来分析。

著录项

  • 作者

    Himawan, Lina Kurniasih.;

  • 作者单位

    University of Maryland, College Park.;

  • 授予单位 University of Maryland, College Park.;
  • 学科 Statistics.; Biology Biostatistics.; Health Sciences Oncology.
  • 学位 M.A.
  • 年度 2004
  • 页码 134 p.
  • 总页数 134
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 统计学;生物数学方法;肿瘤学;
  • 关键词

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