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01/05/2021
Combining Cox Regressions Across a Heterogeneous Distributed Research Network Facing Small and Zero Counts
Studies of the effects of medical interventions increasingly take place ...
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08/23/2020
Stable discovery of interpretable subgroups via calibration in causal studies
Building on Yu and Kumbier's PCS framework and for randomized experiment...
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03/12/2020
Bayesian Posterior Interval Calibration to Improve the Interpretability of Observational Studies
Observational healthcare data offer the potential to estimate causal eff...
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03/28/2018
A systematic approach to improving the reliability and scale of evidence from health care data
Concerns over reproducibility in science extend to research using existi...
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11/05/2015
Interpretable classifiers using rules and Bayesian analysis: Building a better stroke prediction model
We aim to produce predictive models that are not only accurate, but are ...
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02/13/2013