Cargando…
Dynamic prediction based on variability of a longitudinal biomarker
BACKGROUND: Tacrolimus is given post-kidney transplant to suppress the immune system, and the amount of drug in the body is measured frequently. Higher variability over time may be indicative of poor drug adherence, leading to more adverse events. It is important to account for the variation in Tacr...
Autores principales: | Campbell, Kristen R., Martins, Rui, Davis, Scott, Juarez-Colunga, Elizabeth |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8122571/ https://www.ncbi.nlm.nih.gov/pubmed/33992081 http://dx.doi.org/10.1186/s12874-021-01294-x |
Ejemplares similares
-
Random survival forests for dynamic predictions of a time-to-event outcome using a longitudinal biomarker
por: Pickett, Kaci L, et al.
Publicado: (2021) -
Comparison of a time-varying covariate model and a joint model of time-to-event outcomes in the presence of measurement error and interval censoring: application to kidney transplantation
por: Campbell, Kristen R., et al.
Publicado: (2019) -
Predicting COVID-19 mortality risk in Toronto, Canada: a comparison of tree-based and regression-based machine learning methods
por: Feng, Cindy, et al.
Publicado: (2021) -
Biomarkers of Exposure to Polycyclic Aromatic Hydrocarbons and Cognitive Function among Elderly in the United States (National Health and Nutrition Examination Survey: 2001-2002)
por: Best, Elizabeth A., et al.
Publicado: (2016) -
A tutorial on dynamic risk prediction of a binary outcome based on a longitudinal biomarker
por: Dandis, Rana, et al.
Publicado: (2019)