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C. Tong, 2019: Statistical inference enables bad science; statistical thinking enables good science. The American Statistician, 73 (Sup 1): 246-261.
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Published in the special issue on Statistical Inference in the 21st Century: A World Beyond p < 0.05.
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Discussed on Andrew Gelman's blog, Statistical Modeling, Causal Inference, and Social Science here and especially here. After expressing some concerns, he writes: "Overall, though, I agree with Tong’s message, and I think everybody should read his article."
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R. Picard and D. Osthus (2022) call this paper "an insightful historical review of overconfident statistical inference." This paper has also been cited by a few other statisticians such as Yihui Xue (2019) and Sander Greenland (2023), though the latter misspelled my name as "Toh". However most of this paper's citations (as I intended and hoped) are by non-statisticians.
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Presented at the the 41st Midwest Biopharmaceutical Statistics Workshop, 14-16 May 2018, Indianapolis, IN.
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Presented at the Nevada Chapter of the American Statistical Association, 2017 Annual Symposium and Meeting, 14 October 2017, Reno, NV.
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B. Gunter and C. Tong, 2017: What are the odds!? The "airport fallacy" and statistical inference. Significance, 14 (4): 38-41.
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B. Gunter and C. Tong, 2018: Reply to John A. Lewis. Significance, 15 (1): 46-47.
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B. Gunter and C. Tong, 2017: Reply to Justin Smith. Significance, 14 (6): 46.
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(c) 2022-2023 by Christopher Tong