Multi-Scale Multivariate Models for Small Area Health Survey Data: A Chilean Example

Keyphrases

• Survey Data 100%
• Joint Model 100%
• Geocoding 100%
• Chilean 100%
• Small Area 100%
• Health Survey Data 100%
• Low-density Cholesterol 100%
• Multivariate Model 100%
• Missingness 100%
• Between-person 50%
• National Health Survey 50%
• Chile 50%
• Predictive Inference 50%
• Prevalance 50%
• Diabetes 50%
• Regional Risk 50%
• Health Outcomes 50%
• Provincial Level 50%
• Provincia 50%
• Individual Outcomes 50%
• Regional Prevalence 50%
• Obesity 50%
• Obesity-related Hypertension 50%
• Survey Weights 50%
• Spatially Structured 50%
• Missing Data Mechanism 50%
• Sampling Weights 50%
• Disease Outcome 50%
• Disease-specific 50%
• Hypertension 50%
• Multiple Disease Outcomes 50%
• Spatial Structure 50%
• Spatial Differentiation 50%
• Common Diseases 50%
• Diabetes-hypertension 50%
• Aggregate Scale 50%
• Aggregate Model 50%
• Bayesian multivariate Model 50%

Computer Science

• Hypertension 100%
• Case Study 50%
• Realistic Estimate 50%
• Aggregate Level 50%
• Spatial Structure 50%
• Aggregate Model 50%
• Individual Outcome 50%

Mathematics

• Missingness 100%
• Survey Data 100%
• Bayesian 33%
• Individual Outcome 33%
• Spatial Scale 33%
• Predictive Inference 33%