Given the excited whispers about the upcoming meeting of the American Statistical Association Committee on P-Values and Statistical Significance, it’s an apt time to reblog my post on the “Don’t Ask Don’t Tell” policy that began the latest brouhaha! A large number of people have sent me articles on the “test ban” of statistical hypotheses tests and […]
Evolutionary ecologist, Stephen Heard (Scientist Sees Squirrel) linked to my blog yesterday. Heard’s post asks: “Why do we make statistics so hard for our students?” I recently blogged Barnard who declared “We need more complexity” in statistical education. I agree with both: after all, Barnard also called for stressing the overarching reasoning for given methods, and that’s in sync with […]
Someone linked this to me on Twitter. I thought it was a home blog at first. Surely the U.S. Dept of Health and Human Services can give a better definition than this. U.S. Department of Health and Human Services Effective Health Care Program Glossary of Terms We know that many of the concepts used on this […]
“The Philosophy of Statistics: Bayesianism, Frequentism and the Nature of Inference,” at the 2015 American Psychological Society (APS) Annual Convention in NYC, May 23, 2015: D. Mayo: “Error Statistical Control: Forfeit at your Peril” S. Senn: “‘Repligate’: reproducibility in statistical studies. What does it mean and in what sense does it matter?” […]
Stephen Senn Head of Competence Center for Methodology and Statistics (CCMS) Luxembourg Institute of Health Double Jeopardy?: Judge Jeffreys Upholds the Law “But this could be dealt with in a rough empirical way by taking twice the standard error as a criterion for possible genuineness and three times the standard error for definite acceptance”. Harold […]
Thanks to my colleague, Linda Welling, for bringing this post to my attention: Still Not Significant.I just love it! (Take some of the comments with a grain of salt, though.) © 2015, David E. Giles
Stephen Senn Head of Competence Center for Methodology and Statistics (CCMS) Luxembourg Institute of Health The pathetic P-value This is the way the story is now often told. RA Fisher is the villain. Scientists were virtuously treading the Bayesian path, when along came Fisher and gave them P-values, which they gladly accepted, because they could […]
A large number of people have sent me articles on the “test ban” of statistical hypotheses tests and confidence intervals at a journal called Basic and Applied Social Psychology (BASP)[i]. Enough. One person suggested that since it came so close to my recent satirical Task force post, that I either had advance knowledge or some kind […]
“Is the Philosophy of Probabilism an Obstacle to Statistical Fraud Busting?” was my presentation at the 2014 Boston Colloquium for the Philosophy of Science):“Revisiting the Foundations of Statistics in the Era of Big Data: Scaling Up to Meet the Challenge.” As often happens, I never put these slides into a stand alone paper. But I have […]
This headliner appeared before, but to a sparse audience, so Management’s giving him another chance… His joke relates to both Senn’s post (about alternatives), and to my recent post about using (1 – β)/α as a likelihood ratio--but for very different reasons. (I’ve explained at the bottom of this “(b) draft”.) ….If you look closely, you’ll see that it’s […]
