I am grateful to A. Spanos for letting me post a link to his comments on a paper S. Senn shared last week. You can find a pdf of his comments here.
You can read the original Bernard and Copas (2002) article here
Posts Tagged With: likelihood ratio
The Statistics Wars & Their Casualties
Blog links (references)
Reviews of Statistical Inference as Severe Testing (SIST)
- P. Bandyopadhyay (2019) Notre Dame Philosophical Reviews
- C. Hennig (2019) Statistical Modeling, Causal. Inference, and Social Science blog
- A. Spanos (2019) OEconomia: History, Methodology, Philosophy
- R. Cousins 2020 (Preprint)
- S. Fletcher (2020) Philosophy of Science
- B. Haig (2020) Methods in Psychology
- C. Mayo-Wilson (2020 forthcoming) Philosophical Review
- T. Sterkenburg (2020) Journal for General Philosophy of Science
Interviews & Debates on PhilStat (2020)
- The Statistics Debate!with Jim Berger, Deborah Mayo, David Trafimow & Dan Jeske, moderator (10/15/20)
- The Filter podcast with Matt Asher (11/23/20)
- Philosophy of Data Science Series Keynote Episode 1: Revolutions, Reforms, and Severe Testing in Data Science with Glen Wright Colopy (11/24/20)
- Philosophy of Data Science Series Keynote Episode 2: The Philosophy of Science & Statistics with Glen Wright Colopy (12/01/20)
Interviews on PhilStat (2019)
LSE PH500 Research Seminar (May 21-June 25, 2020): Controversies in Phil Stat
Summer Seminar 2019 (article)
Experts convene to explore new philosophy of statistics field
Top Posts & Pages
- S. Senn: "Error point: The importance of knowing how much you don’t know" (guest post)
- S. Senn: Randomisation is not about balance, nor about homogeneity but about randomness (Guest Post)
- Er, about those other approaches, hold off until a balanced appraisal is in
- Spurious Correlations: Death by getting tangled in bedsheets and the consumption of cheese! (Aris Spanos)
- J. Pearl: Challenging the Hegemony of Randomized Controlled Trials: Comments on Deaton and Cartwright
- Erich Lehmann's 100 Birthday: Neyman Pearson vs Fisher on P-values
- S. Senn: Being a statistician means never having to say you are certain (Guest Post)
- Statistics and the Higgs Discovery: 9 yr Memory Lane
- (Excerpts from) 'P-Value Thresholds: Forfeit at Your Peril' (free access)
- Gelman blogged our exchange on abandoning statistical significance
Conferences & Workshops
RMM Special Topic
Mayo & Spanos, Error Statistics
My Websites
Recent Posts: PhilStatWars
June 24: “Have Covid-19 lockdowns led to an increase in domestic violence? Drawing inferences from police administrative data” (Katrin Hohl)
May 20: “Objective Bayesianism from a philosophical perspective” (Jon Williamson)
April 22 “How an information metric could bring truce to the statistics wars” (Daniele Fanelli)
March 25 “How should applied science journal editors deal with statistical controversies?” (Mark Burgman)
February 18 “Testing with models that are not true” (Christian Hennig)
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