SIST

.

Ship StatInfasST will embark on a new journey from 21 May – 18 June, a graduate research seminar for the Philosophy, Logic & Scientific Method Department at the LSE, but given the pandemic has shut down cruise ships, it will remain at dock in the U.S. and use zoom. If you care to follow any of the 5 sessions, nearly all of the materials will be linked here collected from excerpts already on this blog. If you are interested in observing on zoom beginning 28 May, please follow the directions here. The 21 May session will be put on the seminar web page.

General Schedule  PDF

Topic: Current Controversies in Phil Stat
(LSE, Remote 10am-12 EST, 15:00 – 17:00 London time; Thursdays 21 May-18 June)

Main Text SIST: Statistical Inference as Severe Testing: How to Get Beyond the Statistics Wars CUP, 2018):

I. (May 21)  Introduction: Controversies in Phil Stat:  

SIST: Preface, Excursion 1
Preface
Excursion 1 Tour I
Excursion 1 Tour II

Notes/Outline of Excursion 1
Postcard: Souvenir A

II. (May 28) N-P and Fisherian Tests, Severe Testing:

SIST: Excursion 3 Tour I (focus on pages up to p. 152)

Recommended: Excursion 2 Tour II pp. 92-100

Optional: I will (try to) answer questions on demarcation of science, induction, falsification, Popper from Excursion 2 Tour II

Handout: Areas Under the Standard Normal Curve

III. (June 4) Deeper Concepts: Confidence Intervals and Tests: Higgs’ Discovery:

SIST: Excursion 3 Tour III

Optional: I will answer questions on Excursion 3 Tour II: Howlers and Chestnuts of Tests 

IV. (June 11) Rejection Fallacies: Do P-values exaggerate evidence?
      Jeffreys-Lindley paradox or Bayes/Fisher disagreement:

SIST: Excursion 4 Tour II

Recommended:
-Benjamin, D., Berger, J., Johannesson, M., et al. (2017). Redefine Statistical Significance, Nature Human Behaviour, 2: 6-10.
-Lakens, D., et al. (2018). Justify Your Alpha, Nature Human Behaviour, 2: 168-71.

V. (June 18) The Statistics Wars and Their Casualties:

SIST: Excursion 4 Tour III: pp. 267-286; Farewell Keepsake: pp. 436-444
-Amrhein, V., Greenland, S., & McShane, B., (2019). Comment: Retire Statistical Significance, Nature, 567: 305-308.
-Ioannidis J. (2019). “The Importance of Predefined Rules and Prespecified Statistical Analyses: Do Not Abandon Significance.” JAMA. 321(21): 2067–2068. doi:10.1001/jama.2019.4582
-Ioannidis, J. (2019). Correspondence: Retiring statistical significance would give bias a free pass. Nature, 567, 461. https://doi.org/10.1038/d41586-019-00969-2
-Mayo, DG. (2019), P‐value thresholds: Forfeit at your peril. Eur J Clin Invest, 49: e13170. doi: 10.1111/eci.13170

Information Items for SIST

-References: Captain’s Bibliography
–Souvenirs
-Summaries of 16 Tours (abstracts & keywords)
–Excerpts & Mementos on Error Statistics Philosophy Blog (I will link to items from excerpted proofs for interested blog followers as we proceed)
–Schaum’s Appendix 2: Areas Under the Standard Normal Curve from 0-Z

DELAYED: JUNE 19-20 Workshop: The Statistics Wars and Their Casualties

.

Excerpts from the Preface:

The Statistics Wars: 

Today’s “statistics wars” are fascinating: They are at once ancient and up to the minute. They reflect disagreements on one of the deepest, oldest, philosophical questions: How do humans learn about the world despite threats of error due to incomplete and variable data? At the same time, they are the engine behind current controversies surrounding high-profile failures of replication in the social and biological sciences. How should the integrity of science be restored? Experts do not agree. This book pulls back the curtain on why. Continue reading →