Author(s)

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

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.

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.

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

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.