3 papers
stat.AP2023
Commentary on Guyll et al. (2023): Misuse of Statistical Method Results in Highly Biased Interpretation of Forensic Evidence
Michael Rosenblum, Elizabeth T. Chin, Elizabeth L. Ogburn +6
Since the National Academy of Sciences released their report outlining paths for improving reliability, standards, and policies in the forensic sciences NAS (2009), there has been…
stat.ME2023
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…
stat.ME2022
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…