Blog · corpus.blog/blogs/statmodeling.stat.columbia.edu/posts
Andrew Gelman
statmodeling.stat.columbia.edu
2017
It’s not “lying” exactly . . . What do you call it when someone deliberately refuses to correct an untruth?original ↗
30 Jul 2017
29 Jul 2017
28 Jul 2017
28 Jul 2017
“Statistics textbooks (including mine) are part of the problem, I think, in that we just set out ‘theta’ as a parameter to be estimated, without much reflection on the meaning of ‘theta’ in the real world.”original ↗
27 Jul 2017
26 Jul 2017
24 Jul 2017
22 Jul 2017
21 Jul 2017
21 Jul 2017
20 Jul 2017
19 Jul 2017
18 Jul 2017
How to design future studies of systemic exercise intolerance disease (chronic fatigue syndrome)?original ↗
17 Jul 2017
Should we continue not to trust the Turk? Another reminder of the importance of measurementoriginal ↗
17 Jul 2017
Hey—here are some tools in R and Stan to designing more effective clinical trials! How cool is that?original ↗
15 Jul 2017
15 Jul 2017
14 Jul 2017
14 Jul 2017
3 things that will surprise you about model validation and calibration for state space modelsoriginal ↗
13 Jul 2017
12 Jul 2017
Further criticism of social scientists and journalists jumping to conclusions based on mortality trendsoriginal ↗
11 Jul 2017
You can read two versions of this review essay on systemic exertion intolerance disease (chronic fatigue syndrome)original ↗
10 Jul 2017
Why they aren’t behavioral economists: Three sociologists give their take on “mental accounting”original ↗
10 Jul 2017
Sparse regression using the “ponyshoe” (regularized horseshoe) model, from Juho Piironen and Aki Vehtarioriginal ↗
10 Jul 2017
9 Jul 2017
Bigshot psychologist, unhappy when his famous finding doesn’t replicate, won’t consider that he might have been wrong; instead he scrambles furiously to preserve his theoriesoriginal ↗
8 Jul 2017
7 Jul 2017
Statisticians and economists agree: We should learn from data by “generating and revising models, hypotheses, and data analyzed in response to surprising findings.” (That’s what Bayesian data analysis is all about.)original ↗
6 Jul 2017
5 Jul 2017
4 Jul 2017
“Furthermore, there are forms of research that have reached such a degree of complexity in their experimental methodology that replicative repetition can be difficult.”original ↗
2 Jul 2017
30 Jun 2017
30 Jun 2017
30 Jun 2017
28 Jun 2017
27 Jun 2017
26 Jun 2017
26 Jun 2017
Analyze all your comparisons. That’s better than looking at the max difference and trying to do a multiple comparisons correction.original ↗
25 Jun 2017
25 Jun 2017
23 Jun 2017
Best correction ever: “Unfortunately, the correct values are impossible to establish, since the raw data could not be retrieved.”original ↗
23 Jun 2017
23 Jun 2017
After Peptidegate, a proposed new slogan for PPNAS. And, as a bonus, a fun little graphics project.original ↗
21 Jun 2017
17 Jun 2017
16 Jun 2017
Pizzagate gets even more ridiculous: “Either they did not read their own previous pizza buffet study, or they do not consider it to be part of the literature . . . in the later study they again found the exact opposite, but did not comment on the discrepancy.”original ↗
15 Jun 2017
14 Jun 2017
Statistical Challenges of Survey Sampling and Big Data (my remote talk in Bologna this Thurs, 15 June, 4:15pm)original ↗
13 Jun 2017
PhD student fellowship opportunity! in Belgium! to work with us! on the multiverse and other projects on improving the reproducibility of psychological research!!!original ↗
12 Jun 2017
9 Jun 2017
8 Jun 2017
The Publicity Factory: How even serious research gets exaggerated by the process of scientific publication and media exposureoriginal ↗
6 Jun 2017
A quote from William James that could’ve come from Robert Benchley or S. J. Perelman or Dorothy Parkeroriginal ↗
4 Jun 2017
3 Jun 2017
You’ll never guess this one quick trick to diagnose problems with your graphs and then make improvementsoriginal ↗
2 Jun 2017
1 Jun 2017