48 citations · 235 across the 17 of their papers we have counts for
3 papers · 1 filter
Hierarchical Bias-Driven Stratification for Interpretable Causal Effect Estimation
Lucile Ter-Minassian, Liran Szlak, Ehud Karavani +2
Interpretability and transparency are essential for incorporating causal effect models from observational data into policy decision-making. They can provide trust for the model in…
Propensity score models are better when post-calibrated
Rom Gutman, Ehud Karavani, Yishai Shimoni
Theoretical guarantees for causal inference using propensity scores are partly based on the scores behaving like conditional probabilities. However, scores between zero and one, es…
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…