A Recursive Binary Tree Model for the Analysis of the Response to Antiretroviral Therapy of HIV Infected Adults in Burkina Faso - Open Journal of Statistics

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OJS> Vol.9 No.6, December 2019

Volume 9, Issue 6 (December 2019)

ISSN Print: 2161-718X ISSN Online: 2161-7198

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A Recursive Binary Tree Model for the Analysis of the Response to Antiretroviral Therapy of HIV Infected Adults in Burkina Faso

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DOI: 10.4236/ojs.2019.96041 290 Downloads 505 Views

Author(s)

Simon Tiendrébéogo^1,2, Séni Kouanda², Blaise Somé¹, Simplice Dossou-Gbeté³

Affiliation(s)

¹Laboratoire d’Analyse Numérique, d’Informatique et de BIOmathématiques, Université Ouaga I Pr Joseph KI ZERBO, Ouagadougou, Burkina Faso.
²Département Biomédical et Santé Publique, Institut de Recherche en Sciences de la Santé, Ouagadougou, Burkina Faso.
³Université de Pau et des Pays de l’Adour, E2S UPPA, CNRS, LMAP, Pau, France.

ABSTRACT

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.

KEYWORDS

Model-Based Conditional Regression Tree, CD4 Cell Count Prediction, Linear Mixed Model, Stability Analysis, Antiretroviral Therapy

Cite this paper

Tiendrébéogo, S. , Kouanda, S. , Somé, B. and Dossou-Gbeté, S. (2019) A Recursive Binary Tree Model for the Analysis of the Response to Antiretroviral Therapy of HIV Infected Adults in Burkina Faso. Open Journal of Statistics, 9, 643-656. doi: 10.4236/ojs.2019.96041.

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