Study describing a Bayesian hierarchichal modeling framework used to explore which neighborhood-level factors and patient-level features were most informative for preterm birth and stillbirth pregnancy outcomes.
Study showing that neighborhood-level risk factors are independent predictors of Severe Maternal Morbidity, providing further evidence that racial disparities in maternal outcomes are symptoms of historical and structural racism.
Publication and poster accepted for the 2021 Pacific Biocomputing Symposium. This study utilizes Electronic Health Record (EHR) data to assess the impact of pregnancy-specific maternal morbidity and patient-specific characteristics on experiencing an emergency admission at the time of delivery and its relationship to Cesarean section (C-section) deliveries