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Rob Trangucci

Rob Trangucci

PhD Candidate

University of Michigan

Rob is a PhD candidate in the Statistics department at the University of Michigan. His current research focuses on developing novel Bayesian statistical methodology for problems in epidemiology, and creating tools to understand how modeling assumptions impact inference. He has also done research in survey methodology. He got his Master’s in Quantitative Methods in the Social Sciences from Columbia University and his BA in Physics from Bucknell University.

Latest

  • Burkitt lymphoma risk shows geographic and temporal associations with Plasmodium falciparum infections in Uganda, Tanzania, and Kenya
  • Modeling rates of disease with missing categorical data
  • Measuring the impact of spatial perturbations on the relationship between data privacy and validity of descriptive statistics
  • Racial Disparities in Coronavirus Disease 2019 (COVID-19) Mortality Are Driven by Unequal Infection Risks
  • Prenatal and early-life exposure to the Great Chinese Famine increased the risk of tuberculosis in adulthood across two generations
  • Modeling Spatial Risk of Diarrheal Disease Associated with Household Proximity to Untreated Wastewater Used for Irrigation in the Mezquital Valley, Mexico
  • Effects of Sequential Influenza A(H1N1)pdm09 Vaccination on Antibody Waning

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