• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Journal of applied statistics >Robust modelling of the relationship between CD4 and viral load for complex AIDS data
【24h】

Robust modelling of the relationship between CD4 and viral load for complex AIDS data

机译：复杂AIDS数据CD4与病毒载量之间关系的稳健建模

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

CD4 and viral load play important roles in HIV/AIDS studies, and the study of their relationship has received much attention with well-known results. However, AIDS datasets are often highly complex in the sense that they typically contain outliers, measurement errors, and missing data. These data complications can greatly affect statistical analysis results, but much of the literature fail to address these issues in data analysis. In this paper, we re-visit the important relationship between CD4 and viral load and propose methods which simultaneously address outliers, measurement errors, and missing data. We find that the strength of the relationship may be severely mis-estimated if measurement errors and outliers are ignored. The proposed methods are general and can be used in other settings, where jointly modelling several different types of longitudinal data is required in the presence of data complications.
机译：CD4和病毒载量在HIV / AIDS研究中起着重要作用，它们之间的关系研究受到了广泛关注，并获得了众所周知的结果。但是，从通常包含离群值，测量误差和数据丢失的意义上来说，艾滋病数据集通常非常复杂。这些数据复杂性会极大地影响统计分析结果，但是许多文献未能在数据分析中解决这些问题。在本文中，我们将重新探讨CD4与病毒载量之间的重要关系，并提出同时解决离群值，测量误差和数据丢失的方法。我们发现，如果忽略了测量误差和异常值，则可能严重错误地估计了关系的强度。所提出的方法是通用的，并且可以在其他设置中使用，其中在存在数据复杂性的情况下，需要联合建模几种不同类型的纵向数据。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号