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Sequential Patient Recruitment and Allocation for Adaptive Clinical Trials.

, , и . AISTATS, том 89 из Proceedings of Machine Learning Research, стр. 1891-1900. PMLR, (2019)

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Axel Zameck-Glyscinski

Patrik Zamecnik

Horst Zameit

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Elke Zameitat

 

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A demand adjustment process., , и . Int. J. Game Theory, 26 (4): 423-438 (1997)Temporal Quilting for Survival Analysis., , , и . AISTATS, том 89 из Proceedings of Machine Learning Research, стр. 596-605. PMLR, (2019)Secret information in communications networks., , и . CDC/ECC, стр. 3110-3115. IEEE, (2011)Adaptive Clinical Trials: Exploiting Sequential Patient Recruitment and Allocation., , и . CoRR, (2018)Learning outside the Black-Box: The pursuit of interpretable models., , , и . NeurIPS, (2020)SDF-Bayes: Cautious Optimism in Safe Dose-Finding Clinical Trials with Drug Combinations and Heterogeneous Patient Groups., , , , и . AISTATS, том 130 из Proceedings of Machine Learning Research, стр. 2980-2988. PMLR, (2021)Does Market Incompleteness Matter?, и . Econometrica, 70 (5): 1805--1839 (244 09 2002)doi: 10.1111/1468-0262.00354.Learning perfect coordination with minimal feedback in wireless multi-access communications., , и . GLOBECOM, стр. 3861-3866. IEEE, (2013)Constructing effective personalized policies using counterfactual inference from biased data sets with many features., , , и . Mach. Learn., 108 (6): 945-970 (2019)Personalized Survival Predictions for Cardiac Transplantation via Trees of Predictors., , , , , и . CoRR, (2017)