An approach to the estimation of chronic air pollution effects using spatio-temporal information

Keyphrases

• Confounding 100%
• Air Pollution Effects 100%
• Spatio-temporal Information 100%
• National Trends 75%
• Local Coefficients 75%
• PM2.5 75%
• Air Pollution 50%
• Life Expectancy 50%
• Pollution 50%
• Global Coefficient 50%
• Premature Death 25%
• Proportional Hazards Model 25%
• Model Assumptions 25%
• Particulate Air Pollution 25%
• Particulate Matter 25%
• Survey Data 25%
• Covariation 25%
• Age-adjusted Mortality Rates 25%
• Location-specific 25%
• Socioeconomic Factors 25%
• Short-term Exposure 25%
• Regression Coefficient 25%
• Medicare 25%
• Pollution Study 25%
• Life Changes 25%
• Urban Population 25%
• Time Since Death 25%
• Regression Estimates 25%
• Exposure Parameters 25%
• Long-term Exposure 25%
• Unmeasured Confounders 25%
• Spatial-temporal 25%
• Time Variation 25%
• Unmeasured Variables 25%
• Pollution Level 25%
• Spatio-temporal Data 25%
• Backfitting Algorithm 25%
• Observational Evidence 25%
• Poisson Regression Model 25%
• Results-based 25%
• Additional Covariates 25%
• Cross-sectional Comparison 25%

Mathematics

• Confounding 100%
• Local Coefficient 75%
• Proportional Hazards Model 25%
• Confounders 25%
• Covariate 25%
• Backfitting Algorithm 25%
• Survey Data 25%
• Poisson Regression Model 25%
• Regression Coefficient 25%