1 citations · 1 across the 1 of their papers we have counts for
4 papers
Bayesian Safety Surveillance with Adaptive Bias Correction
Fan Bu, Martijn J. Schuemie, Akihiko Nishimura +7
Post-market safety surveillance is an integral part of mass vaccination programs. Typically relying on sequential analysis of real-world health data as they accrue, safety surveill…
Inferring HIV Transmission Patterns from Viral Deep-Sequence Data via Latent Typed Point Processes
Fan Bu, Joseph Kagaayi, Kate Grabowski +2
Viral deep-sequencing data play a crucial role toward understanding disease transmission network flows, because the higher resolution of these data compared to standard Sanger sequ…
Adjusting for both sequential testing and systematic error in safety surveillance using observational data: Empirical calibration and MaxSPRT
Martijn J. Schuemie, Fan Bu, Akihiko Nishimura +1
Post-approval safety surveillance of medical products using observational healthcare data can help identify safety issues beyond those found in pre-approval trials. When testing se…
Likelihood-based inference for partially observed stochastic epidemics with individual heterogeneity
Fan Bu, Allison E. Aiello, Alexander Volfovsky +1
We develop a stochastic epidemic model progressing over dynamic networks, where infection rates are heterogeneous and may vary with individual-level covariates. The joint dynamics…