Cargando…
Additive quantile mixed effects modelling with application to longitudinal CD4 count data
Quantile regression offers an invaluable tool to discern effects that would be missed by other conventional regression models, which are solely based on modeling conditional mean. Quantile regression for mixed-effects models has become practical for longitudinal data analysis due to the recent compu...
Autores principales: | Yirga, Ashenafi A., Melesse, Sileshi F., Mwambi, Henry G., Ayele, Dawit G. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8429740/ https://www.ncbi.nlm.nih.gov/pubmed/34504147 http://dx.doi.org/10.1038/s41598-021-97114-9 |
Ejemplares similares
-
Application of quantile mixed-effects model in modeling CD4 count from HIV-infected patients in KwaZulu-Natal South Africa
por: Yirga, Ashenafi A., et al.
Publicado: (2022) -
Negative binomial mixed models for analyzing longitudinal CD4 count data
por: Yirga, Ashenafi A., et al.
Publicado: (2020) -
Modelling CD4 counts before and after HAART for HIV infected patients in KwaZulu-Natal South Africa
por: Yirga, Ashenfai A, et al.
Publicado: (2020) -
Factors affecting child malnutrition in Ethiopia
por: Yirga, Ashenafi Argaw, et al.
Publicado: (2019) -
Structured additive regression models with spatial correlation to estimate under-five mortality risk factors in Ethiopia
por: Ayele, Dawit G, et al.
Publicado: (2015)