Pages that link to "Item:Q4785397"
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The following pages link to A Shared Component Model for Detecting Joint and Selective Clustering of Two Diseases (Q4785397):
Displaying 35 items.
- High-dimensional order-free multivariate spatial disease mapping (Q74216) (← links)
- Bayesian factor analysis for spatially correlated data: application to cancer incidence data in Scotland (Q257469) (← links)
- Restricted covariance priors with applications in spatial statistics (Q273651) (← links)
- Bayesian spatial models with a mixture neighborhood structure (Q432302) (← links)
- Generalized spatial dynamic factor models (Q901501) (← links)
- On empirical Bayes penalized quasi-likelihood inference in GLMMs and in Bayesian disease mapping and ecological modeling (Q961732) (← links)
- Line and point cluster models for spatial health data (Q1020706) (← links)
- MSPOCK: alleviating spatial confounding in multivariate disease mapping models (Q2084438) (← links)
- Combining heterogeneous spatial datasets with process-based spatial fusion models: a unifying framework (Q2242020) (← links)
- Some recent work on multivariate Gaussian Markov random fields (Q2414872) (← links)
- Bayesian multivariate spatial models for roadway traffic crash mapping (Q2581521) (← links)
- Hierarchical multivariate mixture generalized linear models for the analysis of spatial data: an application to disease mapping (Q2829465) (← links)
- Bayesian shared spatial-component models to combine and borrow strength across sparse disease surveillance sources (Q2902548) (← links)
- Geographic distribution of cardiovascular comorbidities in South Africa: a national cross-sectional analysis (Q3179242) (← links)
- Latent Variable Modelling: A Survey* (Q3608238) (← links)
- Bayesian latent variable modelling of multivariate spatio-temporal variation in cancer mortality (Q3628762) (← links)
- A comparison of Bayesian spatial models for disease mapping (Q4662795) (← links)
- Towards joint disease mapping (Q4662797) (← links)
- Issues in the mapping of two diseases (Q4662798) (← links)
- Modelling multivariate disease rates with a latent structure mixture model (Q4970583) (← links)
- Modelling spatially correlated survival data for individuals with multiple cancers (Q4970883) (← links)
- Geostatistical patterns of comorbidity of diarrhea, acute respiratory infection, and stunting among under-five children in Nigeria (Q5074896) (← links)
- Polytomous Disease Mapping to Detect Uncommon Risk Factors for Related Diseases (Q5122944) (← links)
- Bayesian joint modeling of correlated counts data with application to adverse birth outcomes (Q5130236) (← links)
- (Q5232508) (← links)
- Bayesian spatio-temporal analysis of joint patterns of male and female lung cancer risks in Yorkshire (UK) (Q5424988) (← links)
- Joint spatial analysis of gastrointestinal infectious diseases (Q5424996) (← links)
- Bayesian spatio-temporal analysis of joint patterns of male and female lung cancer risks in Yorkshire (UK) (Q5442638) (← links)
- Disease Mapping With Generative Models (Q5868186) (← links)
- Estimating the burden of the opioid epidemic for adults and adolescents in Ohio counties (Q6074531) (← links)
- On coregionalized multivariate Gaussian Markov random fields: construction, parameterization, and Bayesian estimation and inference (Q6169913) (← links)
- Using mortality to predict incidence for rare and lethal cancers in very small areas (Q6181617) (← links)
- Inducing high spatial correlation with randomly edge-weighted neighborhood graphs (Q6203350) (← links)
- Spatiotemporal multivariate mixture models for Bayesian model selection in disease mapping (Q6625881) (← links)
- Hierarchical multivariate directed acyclic graph autoregressive models for spatial diseases mapping (Q6628615) (← links)
