Presentation Type
Poster
Student
Yes
Track
Health Care Application
Abstract
The Area Deprivation Index (ADI) plays a vital role in identifying and addressing socioeconomic challenges, forming the basis for fair public health policies and resource distribution. This study explores the capabilities of both linear and non-linear statistical models, with a focus on Fixed Rank Kriging (FRK), to analyze ADI using data on U.S. Social Determinants of Health (SDOH). The model’s predictive capability is compared with Generalized Additive Models (GAM) and Generalized Additive Models for Location, Scale, and Shape (GAMLSS). The non-gaussian FRK provides a more comprehensive spatial analysis, albeit with higher computational requirements.
Start Date
2-7-2025 1:00 PM
End Date
2-7-2025 2:30 PM
Included in
Medicine and Health Sciences Commons, Physical Sciences and Mathematics Commons, Social and Behavioral Sciences Commons
Modeling Area Deprivation Index using Non-Gaussian Fixed Rank Kriging
Volstorff A
The Area Deprivation Index (ADI) plays a vital role in identifying and addressing socioeconomic challenges, forming the basis for fair public health policies and resource distribution. This study explores the capabilities of both linear and non-linear statistical models, with a focus on Fixed Rank Kriging (FRK), to analyze ADI using data on U.S. Social Determinants of Health (SDOH). The model’s predictive capability is compared with Generalized Additive Models (GAM) and Generalized Additive Models for Location, Scale, and Shape (GAMLSS). The non-gaussian FRK provides a more comprehensive spatial analysis, albeit with higher computational requirements.