Statistical methodology
Statistical inference for infectious disease models leveraging emerging data
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F. Bu, A. E. Aiello, A. Volfovsky, and J. Xu.
Likelihood-based Inference for Partially Observed Stochastic Epidemics with Individual Heterogeneity (2024). Biostatistics. (In print) -
F. Bu, J. Kagaayi, M. K. Grabowski, J. Xu, and O. Ratmann. Inferring HIV Transmission Patterns from Viral Deep-Sequence Data via Latent Spatial Poisson Processes (2024). Biometrics.
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F. Bu, A. E. Aiello, J. Xu, and A. Volfovsky. Likelihood-based Inference for Partially Observed Epidemics on Dynamic Networks (2020). Journal of the American Statistical Association.
Methods for evidence synthesis using large-scale observational health data
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F. Bu, M. J. Schuemie, A. Nishimura, L. H. Smith, K. Kostka, T. Falconer, J. A. McLeggon, P. B. Ryan, G. Hripcsak, and M. A. Suchard. Bayesian Safety Surveillance with Adaptive Bias Correction (2023). Statistics in Medicine.
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M. Schuemie, F. Bu, A. Nishimura and M. Suchard. Adjusting for Both Sequential Testing and Systematic Error in Safety Surveillance using Observational Data: Empirical Calibration and MaxSPRT (2023). Statistics in Medicine.
Collaborative work
Observational health data science
- R. Khera, A. Aminorroaya, L. S. Dhingra, P. M. Thangaraj, A. P. Camargos, F. Bu, …, and M. A. Suchard. Comparative Effectiveness of Second-line Antihyperglycemic Agents for Cardiovascular Outcomes: A Large-scale, Multinational, Federated Analysis of the LEGEND-T2DM Study (2024). Journal of the American College of Cardiology.
- R. Khera, L.S. Dhingra, A. Aminorroaya, …, F. Bu, …, and M. A. Suchard. Multinational patterns of second line antihyperglycaemic drug initiation across cardiovascular risk groups: federated pharmacoepidemiological evaluation in LEGEND-T2DM (2023). BMJ medicine.
- F. Arshad, M. J. Schuemie, F. Bu, …, and M. A. Suchard. Serially Combining Epidemiological Designs Does Not Improve Overall Signal Detection in Vaccine Safety Surveillance (2023). Drug Safety.
- E. A. Voss, A. Shoaibi, L. Y. H. Lai, …, F. Bu, …, and Patrick B Ryan. Contextualising adverse events of special interest to characterise the baseline incidence rates in 24 million patients with COVID-19 across 26 databases: a multinational retrospective cohort study (2023). EClinicalMedicine.
Social and cognitive sciences
- R. Asencio, F. Bu, L. Tucker, G. Varela, J. Moody, and A. Volfovsky. Network Position and Emergent Phenomena: A Multi-team System Case Study (2022+). Under revisions.