Cargando…
Prediction models for clustered data with informative priors for the random effects: a simulation study
BACKGROUND: Random effects modelling is routinely used in clustered data, but for prediction models, random effects are commonly substituted with the mean zero after model development. In this study, we proposed a novel approach of including prior knowledge through the random effects distribution an...
Autores principales: | Ni, Haifang, Groenwold, Rolf H. H., Nielen, Mirjam, Klugkist, Irene |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6080562/ https://www.ncbi.nlm.nih.gov/pubmed/30081875 http://dx.doi.org/10.1186/s12874-018-0543-5 |
Ejemplares similares
-
Expert opinion as priors for random effects in Bayesian prediction models: Subclinical ketosis in dairy cows as an example
por: Ni, Haifang, et al.
Publicado: (2021) -
Adjustment for unmeasured confounding through informative priors for the confounder-outcome relation
por: Groenwold, Rolf H. H., et al.
Publicado: (2018) -
Sensitivity analysis for random measurement error using regression calibration and simulation-extrapolation
por: Nab, Linda, et al.
Publicado: (2021) -
Bayesian evaluation of informative hypotheses
por: Hoijtink, Herbert, et al.
Publicado: (2008) -
Informative missingness in electronic health record systems: the curse of knowing
por: Groenwold, Rolf H. H.
Publicado: (2020)