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  • 标题:A Recursive Binary Tree Model for the Analysis of the Response to Antiretroviral Therapy of HIV Infected Adults in Burkina Faso
  • 本地全文:下载
  • 作者:Simon Tiendrébéogo ; Séni Kouanda ; Blaise Somé
  • 期刊名称:Open Journal of Statistics
  • 印刷版ISSN:2161-718X
  • 电子版ISSN:2161-7198
  • 出版年度:2019
  • 卷号:9
  • 期号:6
  • 页码:643-656
  • DOI:10.4236/ojs.2019.96041
  • 出版社:Scientific Research Publishing
  • 摘要:In this paper we aim to analyse temporal variation of CD4 cell counts for HIV-infected individuals under antiretroviral therapy by using statistical methods. This is achieved by resorting to recursive binary regression tree approach [1] [2]. This approach has made it possible to highlight the existence of several segments of the population of interest described by the interactions between the predictive covariates of the response to the treatment regimen..
  • 关键词:Model;Based Conditional Regression Tree;CD4 Cell Count Prediction;Linear Mixed Model;Stability Analysis;Antiretroviral Therapy
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