Cargando…
Continual updating and monitoring of clinical prediction models: time for dynamic prediction systems?
Clinical prediction models (CPMs) have become fundamental for risk stratification across healthcare. The CPM pipeline (development, validation, deployment, and impact assessment) is commonly viewed as a one-time activity, with model updating rarely considered and done in a somewhat ad hoc manner. Th...
Autores principales: | Jenkins, David A., Martin, Glen P., Sperrin, Matthew, Riley, Richard D., Debray, Thomas P. A., Collins, Gary S., Peek, Niels |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7797885/ https://www.ncbi.nlm.nih.gov/pubmed/33431065 http://dx.doi.org/10.1186/s41512-020-00090-3 |
Ejemplares similares
-
Targeted validation: validating clinical prediction models in their intended population and setting
por: Sperrin, Matthew, et al.
Publicado: (2022) -
Dynamic models to predict health outcomes: current status and methodological challenges
por: Jenkins, David A., et al.
Publicado: (2018) -
A multiple‐model generalisation of updating clinical prediction models
por: Martin, Glen P., et al.
Publicado: (2017) -
A scoping review of causal methods enabling predictions under hypothetical interventions
por: Lin, Lijing, et al.
Publicado: (2021) -
Developing clinical prediction models when adhering to minimum sample
size recommendations: The importance of quantifying bootstrap variability in
tuning parameters and predictive performance
por: Martin, Glen P, et al.
Publicado: (2021)