In spatio-temporal disease mapping models, identifiability constraints affect PQL and INLA results

Keyphrases

• Spatiotemporal 100%
• Model Identifiability 100%
• Spatial-temporal 100%
• Mapping Model 100%
• Disease Mapping 100%
• Identifiability Condition 100%
• Generalized Linear Mixed Model 66%
• Random Effects 66%
• Spain 33%
• Breast Cancer Mortality 33%
• Bayesian Approach 33%
• Relative Risk 33%
• Mortality Data 33%
• Relative Rate 33%
• Penalized Likelihood 33%
• Fixed Effects 33%
• Precision Matrix 33%
• Spectral Decomposition 33%
• Fitting Method 33%
• Approximate Computing 33%
• Spatiotemporal Interaction 33%
• Spatio-temporal Random Effects 33%
• Integrated Nested Laplace Approximation 33%
• Computing Techniques 33%
• Spatial-temporal Interaction 33%

Mathematics

• Identifiability Constraint 100%
• Random Effect 100%
• Generalized Linear Mixed Model 66%
• Matrix 33%
• Laplace Approximation 33%
• Temporal Interaction 33%
• Relative Risk 33%
• Bayesian Approach 33%
• Spectral Decomposition 33%
• Quasi-Likelihood 33%