Blog · corpus.blog/blogs/statmodeling.stat.columbia.edu/posts
Andrew Gelman
statmodeling.stat.columbia.edu
2016
22 Aug 2016
21 Aug 2016
20 Aug 2016
17 Aug 2016
16 Aug 2016
Calorie labeling reduces obesity Obesity increased more slowly in California, Seattle, Portland (Oregon), and NYC, compared to some other places in the west coast and northeast that didn’t have calorie labelingoriginal ↗
16 Aug 2016
15 Aug 2016
11 Aug 2016
11 Aug 2016
You won’t be able to forget this one: Alleged data manipulation in NIH-funded Alzheimer’s studyoriginal ↗
10 Aug 2016
9 Aug 2016
9 Aug 2016
8 Aug 2016
8 Aug 2016
“What can recent replication failures tell us about the theoretical commitments of psychology?”original ↗
6 Aug 2016
5 Aug 2016
In policing (and elsewhere), regional variation in behavior can be huge, and perhaps give a clue about how to move forward.original ↗
3 Aug 2016
31 Jul 2016
What recommendations to give when a medical study is not definitive (which of course will happen all the time, especially considering that new treatments should be compared to best available alternatives, which implies that most improvements will be incremental at best)original ↗
30 Jul 2016
28 Jul 2016
27 Jul 2016
25 Jul 2016
25 Jul 2016
23 Jul 2016
20 Jul 2016
Bayesian Linear Mixed Models using Stan: A tutorial for psychologists, linguists, and cognitive scientistsoriginal ↗
19 Jul 2016
18 Jul 2016
18 Jul 2016
16 Jul 2016
11 Jul 2016
“Most notably, the vast majority of Americans support criminalizing data fraud, and many also believe the offense deserves a sentence of incarceration.”original ↗
11 Jul 2016
11 Jul 2016
“Participants reported being hungrier when they walked into the café (mean = 7.38, SD = 2.20) than when they walked out [mean = 1.53, SD = 2.70, F(1, 75) = 107.68, P < 0.001].”original ↗
8 Jul 2016
7 Jul 2016
7 Jul 2016
4 Jul 2016
4 Jul 2016
1 Jul 2016
Why experimental economics might well be doing better than social psychology when it comes to replicationoriginal ↗
30 Jun 2016
29 Jun 2016
Should this paper in Psychological Science be retracted? The data do not conclusively demonstrate the claim, nor do they provide strong evidence in favor. The data are, however, consistent with the claim (as well as being consistent with no effect)original ↗
28 Jun 2016
27 Jun 2016
26 Jun 2016
What they’re saying about “blended learning”: “Perhaps the most reasonable explanation is that no one watched the video or did the textbook reading . . .”original ↗
25 Jun 2016
24 Jun 2016
22 Jun 2016