Citations (26)
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Akisato Suzuki. (2022) Policy Implications of Statistical Estimates: A General Bayesian Decision-Theoretic Model for Binary Outcomes. Statistics and Public Policy 9:1, pages 85-96.
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Anders Bredahl Kock, David Preinerstorfer & Bezirgen Veliyev. (2022) Functional Sequential Treatment Allocation. Journal of the American Statistical Association 117:539, pages 1311-1323.
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Haolun Shi & Guosheng Yin. (2021) Reconnecting p-Value and Posterior Probability Under One- and Two-Sided Tests. The American Statistician 75:3, pages 265-275.
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Gary L. Rosner. (2020) Bayesian Methods in Regulatory Science. Statistics in Biopharmaceutical Research 12:2, pages 130-136.
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Peter Bacchetti. (2019) The Other Arbitrary Cutoff. The American Statistician 73:4, pages 413-414.
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Ronald L. Wasserstein, Allen L. Schirm & Nicole A. Lazar. (2019) Moving to a World Beyond “p < 0.05”. The American Statistician 73:sup1, pages 1-19.
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Charles F. Manski & Aleksey Tetenov. (2019) Trial Size for Near-Optimal Choice Between Surveillance and Aggressive Treatment: Reconsidering MSLT-II. The American Statistician 73:sup1, pages 305-311.
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Stephen T. Ziliak. (2019) How Large Are Your G-Values? Try Gosset’s Guinnessometrics When a Little “p” Is Not Enough. The American Statistician 73:sup1, pages 281-290.
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Jeff Dominitz & Charles F. Manski. (2024) Comprehensive Oos Evaluation of Predictive Algorithms with Statistical Decision Theory. SSRN Electronic Journal.
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Charles F. Manski. (2023) Probabilistic prediction for binary treatment choice: With focus on personalized medicine. Journal of Econometrics 234:2, pages 647-663.
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Anders Bredahl Kock, David Preinerstorfer & Bezirgen Veliyev. (2023) FUNCTIONAL SEQUENTIAL TREATMENT ALLOCATION WITH COVARIATES. Econometric Theory, pages 1-42.
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Joonhwi Joo & Khai Chiong. (2023) Getting the Most Out of Online A/B Tests Using the Minimax-Regret Criteria. SSRN Electronic Journal.
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Toru Kitagawa & Guanyi Wang. (2023) Who should get vaccinated? Individualized allocation of vaccines over SIR network. Journal of Econometrics 232:1, pages 109-131.
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Christian Troost, Robert Huber, Andrew R. Bell, Hedwig van Delden, Tatiana Filatova, Quang Bao Le, Melvin Lippe, Leila Niamir, J. Gareth Polhill, Zhanli Sun & Thomas Berger. (2023) How to keep it adequate: A protocol for ensuring validity in agent-based simulation. Environmental Modelling & Software 159, pages 105559.
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Christopher H. JacksonGianluca BaioAnna HeathMark StrongNicky J. WeltonEdward C.F. Wilson. (2022) Value of Information Analysis in Models to Inform Health Policy. Annual Review of Statistics and Its Application 9:1, pages 95-118.
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Linda M Collins, Jillian C Strayhorn & David J Vanness. (2021) One view of the next decade of research on behavioral and biobehavioral approaches to cancer prevention and control: intervention optimization. Translational Behavioral Medicine 11:11, pages 1998-2008.
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Valentyn LitvinCharles F. Manski. (2021) Evaluating the maximum regret of statistical treatment rules with sample data on treatment response. The Stata Journal: Promoting communications on statistics and Stata 21:1, pages 97-122.
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Charles F. Manski. (2021) Econometrics for Decision Making: Building Foundations Sketched by Haavelmo and Wald. Econometrica 89:6, pages 2827-2853.
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Weili Ding. (2020) Laboratory experiments can pre-design to address power and selection issues. Journal of the Economic Science Association 6:2, pages 125-138.
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Christian Troost, Andrew Reid Bell, Hedwig van Delden, Robert Huber, Tatiana Filatova, Quang Bao Le, Melvin Lippe, Leila Niamir, J. Gareth Polhill, Zhanli Sun & Thomas Berger. (2022) How to Keep it Adequate: A Validation Protocol for Agent-Based Simulation. SSRN Electronic Journal.
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