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Philosophy of Statistics: Retraction Watch, Vol. 1, No. 1
APRIL FOOL’S DAY POST: This morning I received a paper I have been asked to review (anonymously as is typical). It is to head up a forthcoming issue of a new journal called Philosophy of Statistics:...
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Fallacy of Rejection and the Fallacy of Nouvelle Cuisine
In February, in London, criminologist Katrin H. and I went to see Jackie Mason do his shtick, a one-man show billed as his swan song to England. It was like a repertoire of his “Greatest Hits” without...
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That Promissory Note From Lehmann’s Letter; Schmidt to Speak
Juliet Shaffer and Erich Lehmann Monday, April 16, is Jerzy Neyman’s birthday, but this post is not about Neyman (that comes later, I hope). But in thinking of Neyman, I’m reminded of Erich Lehmann,...
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Comedy Hour at the Bayesian (Epistemology) Retreat: Highly Probable vs Highly...
Bayesian philosophers (among others) have analogous versions of the criticism in my April 28 blogpost: error probabilities (associated with inferences to hypotheses) may conflict with chosen posterior...
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Metablog: May 31, 2012
Dear Reader: I will be traveling a lot in the next few weeks, and may not get to post much; we’ll see. If I do not reply to comments, I’m not ignoring them—they’re a lot more fun than some of the...
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Anything Tests Can do, CIs do Better; CIs Do Anything Better than Tests?*...
*The title is to be sung to the tune of “Anything You Can Do I Can Do Better” from one of my favorite plays, Annie Get Your Gun (‘you’ being replaced by ‘test’). This post may be seen to continue the...
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U-Phil: Is the Use of Power* Open to a Power Paradox?
* to assess Detectable Discrepancy Size (DDS) In my last post, I argued that DDS type calculations (also called Neymanian power analysis) provide needful information to avoid fallacies of acceptance in...
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Answer to the Homework & a New Exercise
Debunking the “power paradox” allegation from my previous post. The authors consider a one-tailed Z test of the hypothesis H0: μ ≤ 0 versus H1: μ > 0: our Test T+. The observed sample mean is = 1.4...
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G. Cumming Response: The New Statistics
Prof. Geoff Cumming [i] has taken up my invite to respond to “Do CIs Avoid Fallacies of Tests? Reforming the Reformers” (May 17th), reposted today as well. (I extend the same invite to anyone I comment...
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Stephen Senn: Randomization, ratios and rationality: rescuing the randomized...
Stephen Senn Head of the Methodology and Statistics Group, Competence Center for Methodology and Statistics (CCMS), Luxembourg An issue sometimes raised about randomized clinical trials is the problem...
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A “Bayesian Bear” rejoinder practically writes itself…
These stilted bear figures and their voices are sufficiently obnoxious in their own right, even without the tedious lampooning of p-values and the feigned horror at learning they should not be reported...
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Return to the comedy hour…(on significance tests)
These days, so many theater productions are updated reviews of older standards. Same with the comedy hours at the Bayesian retreat, and task force meetings of significance test reformers. So (on the...
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Reblogging: Oxford Gaol: Statistical Bogeymen
Reblogging 1 year ago in Oxford: Oxford Jail is an entirely fitting place to be on Halloween! Moreover, rooting around this rather lavish set of jail cells (what used to be a single cell is now a...
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13 well-worn criticisms of significance tests (and how to avoid them)
2013 is right around the corner, and here are 13 well-known criticisms of statistical significance tests, and how they are addressed within the error statistical philosophy, as discussed in Mayo, D. G....
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Anything Tests Can do, CIs do Better; CIs Do Anything Better than Tests?*...
Having reblogged the 5/17/12 post on “reforming the reformers” yesterday, I thought I should reblog its follow-up: 6/2/12. Consider again our one-sided Normal test T+, with null H0: μ < μ0 vs μ...
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Bad news bears: ‘Bayesian bear’ rejoinder-reblog mashup
Oh No! It’s those mutant bears again. To my dismay, I’ve been sent, for the third time, that silly, snarky, adolescent, clip of those naughty “what the p-value” bears (first posted on Aug 5, 2012), who...
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First blog: “Did you hear the one about the frequentist…”? and “Frequentists...
Dear Reader: Tonight marks the 2-year anniversary of this blog; so I’m reblogging my very first posts from 9/3/11 here and here (from the rickety old blog site)*. (One was the “about”.) The current...
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Comedy hour at the Bayesian (epistemology) retreat: highly probable vs highly...
Our favorite high school student, Isaac, gets a better shot at showing his college readiness using one of the comparative measures of support or confirmation discussed last week. Their assessment thus...
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Oxford Gaol: Statistical Bogeymen
Memory Lane: 2 years ago. Oxford Jail (also called Oxford Castle) is an entirely fitting place to be on (and around) Halloween! Moreover, rooting around this rather lavish set of jail cells (what used...
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Comedy hour at the Bayesian (epistemology) retreat: highly probable vs highly...
Since we’ll be discussing Bayesian confirmation measures in next week’s seminar—the relevant blogpost being here--let’s listen in to one of the comedy hours at the Bayesian retreat as reblogged from...
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