My papers
Published papers
Here’s a selection of my published papers:
- Modeling Racial/ethnic Differences in COVID-19 Incidence with Covariates Subject to Non-random Missingness (Trangucci, Chen, and Zelner 2023)
- Racial Disparities in Coronavirus Disease 2019 (COVID-19) Mortality Are Driven by Unequal Infection Risks (Zelner et al. 2021)
- Quantifying Observed Prior Impact (Jones, Trangucci, and Chen 2021)
- Modeling Spatial Risk of Diarrheal Disease Associated with Household Proximity to Untreated Wastewater Used for Irrigation in the Mezquital Valley, Mexico (Contreras Jesse D. et al. 2020)
- Bayesian Hierarchical Weighting Adjustment and Survey Inference. (Si 2020)
- Effects of Sequential Influenza A(H1N1)Pdm09 Vaccination on Antibody Waning (Zelner et al. 2019)
Preprints
- Identified vaccine efficacy for binary post-infection outcomes under misclassification without monotonicity (Trangucci, Chen, and Zelner 2022)
- Bayesian Methods for Modeling Cumulative Exposure to Extensive Environmental Health Hazards (Submitted) (Trangucci et al. 2024)
Conference papers
- Hierarchical Gaussian Processes in Stan (Trangucci 2017)
- Prior formulation for Gaussian process hyperparameters. (Trangucci, Betancourt, and Vehtari 2016)
References
Contreras Jesse D., Trangucci Rob, Felix-Arellano Eunice E., Rodríguez-Dozal Sandra, Siebe Christina, Riojas-Rodríguez Horacio, Meza Rafael, Zelner Jon, and Eisenberg Joseph N. S. 2020. “Modeling Spatial Risk of Diarrheal Disease Associated with Household Proximity to Untreated Wastewater Used for Irrigation in the Mezquital Valley, Mexico.” Environmental Health Perspectives 128 (7): 077002. https://doi.org/10.1289/EHP6443.
Jones, David E., Robert N. Trangucci, and Yang Chen. 2021. “Quantifying Observed Prior Impact.” Bayesian Analysis 17 (3). https://doi.org/10.1214/21-BA1271.
Si, Yajuan. 2020. “Bayesian Hierarchical Weighting Adjustment and Survey Inference.” Survey Methodology. 46 (2): 36.
Trangucci, Rob. 2017. “Hierarchical Gaussian Processes in Stan,” January. https://doi.org/10.5281/ZENODO.1284293.
Trangucci, Rob, Michael Betancourt, and Aki Vehtari. 2016. “Prior Formulation for Gaussian Process Hyperparameters.” Practical Bayesian Nonparameterics Workshop - NeurIPS. https://drive.google.com/file/d/0B3WHb3BabixAYlptTVBWUGdyVEE/view?resourcekey=0-mj7f4AZQ-UN1Rvd9NrRlHg.
Trangucci, Rob, Yang Chen, and Jon Zelner. 2022. “Identified Vaccine Efficacy for Binary Post-Infection Outcomes Under Misclassification Without Monotonicity.” https://doi.org/10.48550/ARXIV.2211.16502.
———. 2023. “Modeling Racial/Ethnic Differences in COVID-19 Incidence with Covariates Subject to Nonrandom Missingness.” The Annals of Applied Statistics 17 (4). https://doi.org/10.1214/22-AOAS1711.
Trangucci, Rob, Jesse Contreras, Jon Zelner, Joseph N. S. Eisenberg, and Yang Chen. 2024. “Bayesian Methods for Modeling Cumulative Exposure to Extensive Environmental Health Hazards.” https://doi.org/10.48550/ARXIV.2404.04398.
Zelner, Jon, Joshua G. Petrie, Rob Trangucci, Emily T. Martin, and Arnold S. Monto. 2019. “Effects of Sequential Influenza A(H1N1)pdm09 Vaccination on Antibody Waning.” The Journal of Infectious Diseases 220 (1): 12–19. https://doi.org/10.1093/infdis/jiz055.
Zelner, Jon, Rob Trangucci, Ramya Naraharisetti, Alex Cao, Ryan Malosh, Kelly Broen, Nina Masters, and Paul Delamater. 2021. “Racial Disparities in Coronavirus Disease 2019 (COVID-19) Mortality Are Driven by Unequal Infection Risks.” Clinical Infectious Diseases 72 (5): e88–95. https://doi.org/10.1093/cid/ciaa1723.