Prediction interval for disease mapping using hierarchical likelihood
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Publication:2513337
DOI10.1007/S00180-010-0215-3zbMath1304.65049OpenAlexW2016191425MaRDI QIDQ2513337
Youngjo Lee, Myoung Jin Jang, Woo-Joo Lee
Publication date: 28 January 2015
Published in: Computational Statistics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s00180-010-0215-3
predictionempirical Bayesdisease mappinghierarchical generalized linear modelhierarchical likelihoodfully Bayes
Related Items (4)
Robust inference using hierarchical likelihood approach for heavy-tailed longitudinal outcomes with missing data: an alternative to inverse probability weighted generalized estimating equations ⋮ Resolving the ambiguity of random‐effects models with singular precision matrix ⋮ Hierarchical likelihood methods for nonlinear and generalized linear mixed models with missing data and measurement errors in covariates ⋮ Modifications of REML algorithm for HGLMs
Uses Software
Cites Work
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- Hierarchical generalised linear models: A synthesis of generalised linear models, random-effect models and structured dispersions
- Approximate inference for disease mapping
- Small area estimation: an appraisal. With comments and a rejoinder by the authors
- REML estimation for binary data in GLMMs
- Estimation in Bayesian Disease Mapping
- Accurate Approximations for Posterior Moments and Marginal Densities
- Standard Errors of Prediction in Generalized Linear Mixed Models
- Bias Correction in Generalized Linear Mixed Models With Multiple Components of Dispersion
- Modeling of rates over a hierarchical health administrative structure
- Gaussian Markov Random Fields
- Approximate Inference in Generalized Linear Mixed Models
- Fully Exponential Laplace Approximations to Expectations and Variances of Nonpositive Functions
- Bayesian Analysis of Agricultural Field Experiments
- On measuring the variability of small area estimators under a basic area level model
- Generalized Linear Models with Random Effects
- Rejoinder: ``A comparison of Bayesian and likelihood-based methods for fitting multilevel models
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