Cargando…
Combined models for pre- and post-treatment longitudinal biomarker data: an application to CD4 counts in HIV-patients
BACKGROUND: There has been some debate in the literature as to whether baseline values of a measurement of interest at treatment initiation should be treated as an outcome variable as part of a model for longitudinal change or instead used as a predictive variable with respect to the response to tre...
Autores principales: | Stirrup, Oliver T., Babiker, Abdel G., Copas, Andrew J. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2016
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5025623/ https://www.ncbi.nlm.nih.gov/pubmed/27633882 http://dx.doi.org/10.1186/s12874-016-0187-2 |
Ejemplares similares
-
Fractional Brownian motion and multivariate‐t models for longitudinal biomedical data, with application to CD4 counts in HIV‐positive patients
por: Stirrup, Oliver T., et al.
Publicado: (2015) -
Predictors of CD4 cell recovery following initiation of antiretroviral therapy among HIV‐1 positive patients with well‐estimated dates of seroconversion
por: Stirrup, OT, et al.
Publicado: (2017) -
Associations between baseline characteristics, CD4 cell count response and virological failure on first-line efavirenz + tenofovir + emtricitabine for HIV
por: Stirrup, Oliver T, et al.
Publicado: (2019) -
Additive quantile mixed effects modelling with application to longitudinal CD4 count data
por: Yirga, Ashenafi A., et al.
Publicado: (2021) -
Optimal CD4 Count for Initiating HIV Treatment: Impact of CD4 Observation Frequency and Grace Periods, and Performance of Dynamic Marginal Structural Models
por: Ewings, Fiona M., et al.
Publicado: (2014)