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In a new paper, Raghav Singal creates a model that answers an important counterfactual question for people harmed by delay-and-deny: what if the procedure was approved in a timely fashion? Using specific healthcare data, Raghav’s model can answer that question with striking accuracy, showing the probability that a timely screening or procedure could have had a positive impact on a patient’s health.
By Tuck School of BusinessIn a new paper, Raghav Singal creates a model that answers an important counterfactual question for people harmed by delay-and-deny: what if the procedure was approved in a timely fashion? Using specific healthcare data, Raghav’s model can answer that question with striking accuracy, showing the probability that a timely screening or procedure could have had a positive impact on a patient’s health.