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Advances in Neural Information Processing Systems|May 25, 2026
Data Fusion for Partial Identification of Causal EffectsQuinn Lanners, Cynthia Rudin, Alexander Volfovsky, et al.Observational Studies|May 11, 2026
A Double Machine Learning Approach for Combining Experimental and Observational StudiesHarsh Parikh, Marco Morucci, Vittorio Orlandi, et al.Annals of Clinical and Translational Neurology|June 13, 2024
How many patients do you need? Investigating trial designs for anti-seizure treatment in acute brain injury patientsHarsh Parikh, Haoqi Sun, Rajesh Amerineni, et al.Medrxiv : the Preprint Server for Health Sciences|September 4, 2023
How Many Patients Do You Need? Investigating Trial Designs for Anti-Seizure Treatment in Acute Brain Injury PatientsHarsh Parikh, Haoqi Sun, Rajesh Amerineni, et al.Proceedings of Machine Learning Research|June 15, 2019
Interpretable Almost-Exact Matching for Causal InferenceAwa Dieng, Yameng Liu, Sudeepa Roy, et al.The Lancet. Digital Health|June 9, 2023
Effects of epileptiform activity on discharge outcome in critically ill patients in the USA: a retrospective cross-sectional studyHarsh Parikh, Kentaro Hoffman, Haoqi Sun, et al.Nature Communications|August 10, 2023
Applied machine learning as a driver for polymeric biomaterials designSamantha M McDonald, Emily K Augustine, Quinn Lanners, et al.Nature Machine Intelligence|May 23, 2022
Stop Explaining Black Box Machine Learning Models for High Stakes Decisions and Use Interpretable Models InsteadCynthia RudinThe Annals of Applied Statistics|October 14, 2014
HIERARCHICAL ARRAY PRIORS FOR ANOVA DECOMPOSITIONS OF CROSS-CLASSIFIED DATAAlexander Volfovsky, Peter D HoffJournal of the American Statistical Association|April 19, 2016
Testing for nodal dependence in relational data matricesAlexander Volfovsky, Peter D HoffPageof 9