Cargando…
Application of quantile mixed-effects model in modeling CD4 count from HIV-infected patients in KwaZulu-Natal South Africa
BACKGROUND: The CD4 cell count signifies the health of an individual’s immune system. The use of data-driven models enables clinicians to accurately interpret potential information, examine the progression of CD4 count, and deal with patient heterogeneity due to patient-specific effects. Quantile-ba...
Autores principales: | Yirga, Ashenafi A., Melesse, Sileshi F., Mwambi, Henry G., Ayele, Dawit G. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8724661/ https://www.ncbi.nlm.nih.gov/pubmed/34983387 http://dx.doi.org/10.1186/s12879-021-06942-7 |
Ejemplares similares
-
Modelling CD4 counts before and after HAART for HIV infected patients in KwaZulu-Natal South Africa
por: Yirga, Ashenfai A, et al.
Publicado: (2020) -
Additive quantile mixed effects modelling with application to longitudinal CD4 count data
por: Yirga, Ashenafi A., et al.
Publicado: (2021) -
Negative binomial mixed models for analyzing longitudinal CD4 count data
por: Yirga, Ashenafi A., et al.
Publicado: (2020) -
Rabies control in KwaZulu-Natal, South Africa
por: LeRoux, K, et al.
Publicado: (2018) -
Treatment of Cryptococcal Meningitis in KwaZulu-Natal, South Africa
por: Lightowler, Josephine V. J., et al.
Publicado: (2010)