Category: Miscellaneous Statistics

What’s published in the journal isn’t what the researchers actually did.

David Allison points us to these two letters: Alternating Assignment was Incorrectly Labeled as Randomization, by Bridget Hannon, J. Michael Oakes, and David Allison, in the Journal of Alzheimer’s Disease. Change in study randomization allocation needs to be included in statistical analysis: comment on ‘Randomized controlled trial of weight loss versus usual care on telomere […]

Calibrating patterns in structured data: No easy answers here.

“No easy answers” . . . Hey, that’s a title that’s pure anti-clickbait, a veritable kryptonite for social media . . . Anyway, here’s the story. Adam Przedniczek writes: I am trying to devise new or tune up already existing statistical tests assessing rate of occurrences of some bigger compound structures, but the most tricky […]

The garden of 603,979,752 forking paths

Amy Orben and Andrew Przybylski write: The widespread use of digital technologies by young people has spurred speculation that their regular use negatively impacts psychological well-being. Current empirical evidence supporting this idea is largely based on secondary analyses of large-scale social datasets. Though these datasets provide a valuable resource for highly powered investigations, their many […]

Harvard dude calls us “online trolls”

Story here. Background here (“How post-hoc power calculation is like a shit sandwich”) and here (“Post-Hoc Power PubPeer Dumpster Fire”). OK, to be fair, “shit sandwich” could be considered kind of a trollish thing for me to have said. But the potty language in this context was not gratuitous; it furthered the larger point I […]

Pharmacometrics meeting in Paris on the afternoon of 11 July 2019

Julie Bertrand writes: The pharmacometrics group led by France Mentre (IAME, INSERM, Univ Paris) is very pleased to host a free ISoP Statistics and Pharmacometrics (SxP) SIG local event at Faculté Bichat, 16 rue Henri Huchard, 75018 Paris, on Thursday afternoon the 11th of July 2019. It will features talks from Professor Andrew Gelman, Univ […]

Question 3 of our Applied Regression final exam (and solution to question 2)

Here’s question 3 of our exam: Here is a fitted model from the Bangladesh analysis predicting whether a person with high-arsenic drinking water will switch wells, given the arsenic level in their existing well and the distance to the nearest safe well. glm(formula = switch ~ dist100 + arsenic, family=binomial(link=”logit”)) coef.est (Intercept) 0.00 0.08 […]

Question 1 of our Applied Regression final exam

As promised, it’s time to go over the final exam of our applied regression class. It was an in-class exam, 3 hours for 15 questions. Here’s the first question on the test: 1. A randomized experiment is performed within a survey. 1000 people are contacted. Half the people contacted are promised a $5 incentive to […]