52 citations · 61 across the 8 of their papers we have counts for
8 papers
Efficient GPU-accelerated fitting of observational health-scaled stratified and time-varying Cox models
Jianxiao Yang, Martijn J. Schuemie, Marc A. Suchard
The Cox proportional hazards model stands as a widely-used semi-parametric approach for survival analysis in medical research and many other fields. Numerous extensions of the Cox…
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…
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…
Massive Parallelization of Massive Sample-size Survival Analysis
Jianxiao Yang, Martijn J. Schuemie, Xiang Ji +1
Large-scale observational health databases are increasingly popular for conducting comparative effectiveness and safety studies of medical products. However, increasing number of p…
Adjusting for indirectly measured confounding using large-scale propensity scores
Linying Zhang, Yixin Wang, Martijn Schuemie +2
Confounding remains one of the major challenges to causal inference with observational data. This problem is paramount in medicine, where we would like to answer causal questions f…
Combining Cox Regressions Across a Heterogeneous Distributed Research Network Facing Small and Zero Counts
Martijn J. Schuemie, Yong Chen, David Madigan +1
Studies of the effects of medical interventions increasingly take place in distributed research settings using data from multiple clinical data sources including electronic health…