Cargando…
A framework for meta-analysis of prediction model studies with binary and time-to-event outcomes
It is widely recommended that any developed—diagnostic or prognostic—prediction model is externally validated in terms of its predictive performance measured by calibration and discrimination. When multiple validations have been performed, a systematic review followed by a formal meta-analysis helps...
Autores principales: | Debray, Thomas PA, Damen, Johanna AAG, Riley, Richard D, Snell, Kym, Reitsma, Johannes B, Hooft, Lotty, Collins, Gary S, Moons, Karel GM |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
SAGE Publications
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6728752/ https://www.ncbi.nlm.nih.gov/pubmed/30032705 http://dx.doi.org/10.1177/0962280218785504 |
Ejemplares similares
-
Transparent reporting of multivariable prediction models for individual prognosis or diagnosis: checklist for systematic reviews and meta-analyses (TRIPOD-SRMA)
por: Snell, Kym I E, et al.
Publicado: (2023) -
Meta-analysis of prediction model performance across multiple
studies: Which scale helps ensure between-study normality for the
C-statistic and calibration measures?
por: Snell, Kym IE, et al.
Publicado: (2017) -
Minimum sample size for developing a multivariable prediction model: PART II ‐ binary and time‐to‐event outcomes
por: Riley, Richard D, et al.
Publicado: (2018) -
Empirical evidence of the impact of study characteristics on the performance of prediction models: a meta-epidemiological study
por: Damen, Johanna A A G, et al.
Publicado: (2019) -
How to conduct a systematic review and meta-analysis of prognostic model studies
por: Damen, Johanna A.A., et al.
Publicado: (2023)