Sensitivity analysis in Bayesian generalized linear mixed models for binary data
From MaRDI portal
Publication:2634088
DOI10.1214/11-BA609zbMath1330.62150OpenAlexW2057829568MaRDI QIDQ2634088
Leonhard Held, Małgorzata Roos
Publication date: 8 February 2016
Published in: Bayesian Analysis (Search for Journal in Brave)
Full work available at URL: https://projecteuclid.org/euclid.ba/1339612046
Bayesian analysissensitivity analysisHellinger distancegeneralized linear mixed modelsmodel choicebinary dataintegrated nested Laplace approximations
Applications of statistics to biology and medical sciences; meta analysis (62P10) Bayesian inference (62F15) Generalized linear models (logistic models) (62J12)
Related Items
Sensitivity analysis for Bayesian hierarchical models, Joint generalized models for multidimensional outcomes: A case study of neuroscience data from multimodalities, Partitioned method of valid moment marginal model with Bayes interval estimates for correlated binary data with time-dependent covariates, Unnamed Item, Integrated nested Laplace approximation method for hierarchical Bayesian inference of spatial model with application to functional magnetic resonance imaging data, A variational maximization-maximization algorithm for generalized linear mixed models with crossed random effects, Adaptive prior weighting in generalized regression, Sensitivity and identification quantification by a relative latent model complexity perturbation in Bayesian meta‐analysis, Fitting logistic multilevel models with crossed random effects via Bayesian Integrated Nested Laplace Approximations: a simulation study, Quantifying observed prior impact, A Bayesian computer model analysis of robust Bayesian analyses, Direct fitting of dynamic models using integrated nested Laplace approximations -- INLA, A Bayesian approach to analyse overdispersed longitudinal count data, A note on the multiplicative gamma process, Stomach cancer incidence in Southern Portugal 1998–2006: A spatio‐temporal analysis, Bayesian correlated models for assessing the prevalence of viruses in organic and non-organic agroecosystems, Penalising model component complexity: a principled, practical approach to constructing priors, Network meta-analysis with integrated nested Laplace approximations, On the geometry of Bayesian inference, Bayesian estimation with integrated nested Laplace approximation for binary logit mixed models, Quasi-complete separation in random effects of binary response mixed models, Variational inference for generalized linear mixed models using partially noncentered parametrizations, Bayesian inferences for beta semiparametric-mixed models to analyze longitudinal neuroimaging data
