790 citations · 927 across the 10 of their papers we have counts for
10 papers
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…
Stable discovery of interpretable subgroups via calibration in causal studies
Raaz Dwivedi, Yan Shuo Tan, Briton Park +4
Building on Yu and Kumbier's PCS framework and for randomized experiments, we introduce a novel methodology for Stable Discovery of Interpretable Subgroups via Calibration (StaDISC…
Bayesian Posterior Interval Calibration to Improve the Interpretability of Observational Studies
Jami J. Mulgrave, David Madigan, George Hripcsak
Observational healthcare data offer the potential to estimate causal effects of medical products on a large scale. However, the confidence intervals and p-values produced by observ…
A systematic approach to improving the reliability and scale of evidence from health care data
Martijn J. Schuemie, Patrick B. Ryan, George Hripcsak +2
Concerns over reproducibility in science extend to research using existing healthcare data; many observational studies investigating the same topic produce conflicting results, eve…
Interpretable classifiers using rules and Bayesian analysis: Building a better stroke prediction model
Benjamin Letham, Cynthia Rudin, Tyler H. McCormick +1
We aim to produce predictive models that are not only accurate, but are also interpretable to human experts. Our models are decision lists, which consist of a series of if...then..…
Probabilistic Temporal Reasoning with Endogenous Change
Steve Hanks, David Madigan, Jonathan Gavrin
This paper presents a probabilistic model for reasoning about the state of a system as it changes over time, both due to exogenous and endogenous influences. Our target domain is a…