Prediction models for clustered data with informative priors for the random effects: a simulation study
Abstract 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 distrib...
Main Authors: | Haifang Ni, Rolf H. H. Groenwold, Mirjam Nielen, Irene Klugkist |
---|---|
Format: | Article |
Language: | English |
Published: |
BMC
2018-08-01
|
Series: | BMC Medical Research Methodology |
Subjects: | |
Online Access: | http://link.springer.com/article/10.1186/s12874-018-0543-5 |
Similar Items
-
Bayesian design and analysis of cluster randomized trials
by: Xiao, Shan
Published: (2017) -
Bayesian estimation in animal breeding using the Dirichlet process prior for correlated random effects
by: Pretorius Albertus, et al.
Published: (2003-03-01) -
Penerapan Random Forest Untuk Pengenalan Jenis Ikan Berdasarkan Perbaikan Citra Clahe Dan Dark Channel Prior
by: R.A. Pramunendar, et al.
Published: (2021-12-01) -
Two new methods to fit models for network meta-analysis with random inconsistency effects
by: Martin Law, et al.
Published: (2016-07-01) -
Evaluating performance of covariate-constrained randomization (CCR) techniques under misspecification of cluster-level variables in cluster-randomized trials
by: Madeleine Organ, et al.
Published: (2021-06-01)