23 citations · 23 across the 2 of their papers we have counts for
3 papers
An Evaluation Toolkit to Guide Model Selection and Cohort Definition in Causal Inference
Yishai Shimoni, Ehud Karavani, Sivan Ravid +5
Real world observational data, together with causal inference, allow the estimation of causal effects when randomized controlled trials are not available. To be accepted into pract…
Effect of secular trend in drug effectiveness study in real world data
Sharon Hensley Alford, Piyush Madan, Shilpa Mahatma +3
We discovered secular trend bias in a drug effectiveness study for a recently approved drug. We compared treatment outcomes between patients who received the newly approved drug an…
A Novel Data-Driven Framework for Risk Characterization and Prediction from Electronic Medical Records: A Case Study of Renal Failure
Prithwish Chakraborty, Vishrawas Gopalakrishnan, Sharon M. H. Alford +1
Electronic medical records (EMR) contain longitudinal information about patients that can be used to analyze outcomes. Typically, studies on EMR data have worked with established v…