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Analyzing COVID covariate vector data in NYC boroughs using confirmatory factor analysis at Telethon Kids Institute

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Analyzing COVID covariate vector data in NYC boroughs using confirmatory factor analysis at Telethon Kids Institute

Examined information gain with various covariate data across NYC using neighboring ZCTA's and experimenting with phi. This is work done for the paper titled "Design-Augmented Restricted Spatial Regression" by Ewan Cameron, Angela Cai, Dino Sedjinovic, James McGree, and Seth Flaxman.

Data: Whittle RS, Diaz-Artiles A. An ecological study of socioeconomic predictors in detection of COVID-19 cases across neighborhoods in New York City. doi:10.1101/2020.04.17.20069823. PPR:PPR153851.

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Analyzing COVID covariate vector data in NYC boroughs using confirmatory factor analysis at Telethon Kids Institute

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