23 citations · 27 across the 2 of their papers we have counts for
3 papers
stat.ML2019★ 4 cited
A discriminative approach for finding and characterizing positivity violations using decision trees
Ehud Karavani, Peter Bak, Yishai Shimoni
The assumption of positivity in causal inference (also known as common support and co-variate overlap) is necessary to obtain valid causal estimates. Therefore, confirming it holds…
stat.ML2019★ 23 cited
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…
stat.ME2018
Benchmarking Framework for Performance-Evaluation of Causal Inference Analysis
Yishai Shimoni, Chen Yanover, Ehud Karavani +1
Causal inference analysis is the estimation of the effects of actions on outcomes. In the context of healthcare data this means estimating the outcome of counter-factual treatments…