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Multi-state models for biomedical research : new contributions in statistical modelling, software development, and applications

机译:生物医学研究的多状态模型:在统计建模,软件开发和应用方面的新贡献

摘要

This thesis contains some co ntributions for statistical models studying the disease progression. Methods developed in this thesis are largely motivated by the applications to the medical sciences. Disease progression can be well described using multi-state models. These models may be considered as a generalization of the survival process where several (intermediate) events occur successively over time. Multi-state models offer a better understanding of the process of the illness, leading to a better knowledge of the evolution of the disease over time.
机译:本论文包含了一些用于研究疾病进展的统计模型的贡献。本论文开发的方法很大程度上受医学应用的推动。使用多状态模型可以很好地描述疾病的进展。这些模型可以看作是生存过程的一般化,其中随着时间的推移连续发生几个(中间)事件。多状态模型可以更好地了解疾病的过程,从而更好地了解疾病随时间的演变。

著录项

  • 作者

    Machado Luís Filipe Meira;

  • 作者单位
  • 年度 2005
  • 总页数
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类

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