Presenter Information/ Coauthors Information

Edwin Kutsushi Mutimba, South Dakota State UniversityFollow

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

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Feb 7th, 1:00 PM Feb 7th, 2:30 PM

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.