García, F., de Lazzari, E., Plana, M., Castro, P., Mestre, G., Nomdedeu, M., Fumero, E., et al. (2004) Long-Term CD4+ T-Cell Response to Highly Active Antiretroviral Therapy According to Baseline CD4+ T-Cell Count. Journal of Acquired Immune Deficiency Syndromes, 36, 702-713.
https://doi.org/10.1097/00126334-200406010-00007

has been cited by the following article:

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

  AUTHORS: Simon Tiendrébéogo, Séni Kouanda, Blaise Somé, Simplice Dossou-Gbeté

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

  JOURNAL NAME: Open Journal of Statistics, Vol.9 No.6, November 28, 2019

  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.