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Yuqi Gu; Elena A. Erosheva; Gongjun Xu; David B. Dunson – Grantee Submission, 2023
Mixed Membership Models (MMMs) are a popular family of latent structure models for complex multivariate data. Instead of forcing each subject to belong to a single cluster, MMMs incorporate a vector of subject-specific weights characterizing partial membership across clusters. With this flexibility come challenges in uniquely identifying,…
Descriptors: Multivariate Analysis, Item Response Theory, Bayesian Statistics, Models
Schott, Whitney; Tao, Sha; Shea, Lindsay – Autism: The International Journal of Research and Practice, 2023
Children are at risk of short- and long-term morbidity and mortality from COVID-19. We examine whether autistic children and children with mental health conditions have higher odds of underlying health conditions at high risk of severe disease from COVID-19. We use claims data from a national sample of Medicaid-enrolled children for the years…
Descriptors: Autism Spectrum Disorders, At Risk Persons, COVID-19, Pandemics