Blog · corpus.blog/blogs/statmodeling.stat.columbia.edu/posts
Andrew Gelman
statmodeling.stat.columbia.edu
2018
24 Jul 2018
22 Jul 2018
20 Jul 2018
“The idea of replication is central not just to scientific practice but also to formal statistics . . . Frequentist statistics relies on the reference set of repeated experiments, and Bayesian statistics relies on the prior distribution which represents the population of effects.”original ↗
19 Jul 2018
“For professional baseball players, faster hand-eye coordination linked to batting performance”original ↗
18 Jul 2018
18 Jul 2018
The statistical checklist: Could there be a list of guidelines to help analysts do better work?original ↗
17 Jul 2018
16 Jul 2018
16 Jul 2018
15 Jul 2018
12 Jul 2018
11 Jul 2018
Joint inference or modular inference? Pierre Jacob, Lawrence Murray, Chris Holmes, Christian Robert discuss conditions on the strength and weaknesses of these choicesoriginal ↗
9 Jul 2018
8 Jul 2018
He wants to know what to read and what software to learn, to increase his ability to think about quantitative methods in social scienceoriginal ↗
7 Jul 2018
6 Jul 2018
Tutorial: The practical application of complicated statistical methods to fill up the scientific literature with confusing and irrelevant analysesoriginal ↗
5 Jul 2018
PNAS forgets basic principles of game theory, thus dooming thousands of Bothans to the fate of Alderaanoriginal ↗
4 Jul 2018
About that claim in the NYT that the immigration issue helped Hillary Clinton? The numbers don’t seem to add up.original ↗
3 Jul 2018
3 Jul 2018
3 Jul 2018
1 Jul 2018
30 Jun 2018
Francis Spufford writes just like our very own Dan Simpson and he also knows about the Australia paradox!original ↗
29 Jun 2018
He has a math/science background and wants to transition to social science. Should he get a statistics degree and do social science from there, or should he get a graduate degree in social science or policy?original ↗
28 Jun 2018
The “Psychological Science Accelerator”: it’s probably a good idea but I’m still skepticaloriginal ↗
26 Jun 2018
Regression to the mean continues to confuse people and lead to errors in published researchoriginal ↗
24 Jun 2018
Trying to make some sense of it all, but I can see it makes no sense at all . . . stuck in the middle with youoriginal ↗
23 Jun 2018
22 Jun 2018
Answering the question, What predictors are more important?, going beyond p-value thresholding and rankingoriginal ↗
21 Jun 2018
19 Jun 2018
What is the role of qualitative methods in addressing issues of replicability, reproducibility, and rigor?original ↗
19 Jun 2018
17 Jun 2018
Chasing the noise in industrial A/B testing: what to do when all the low-hanging fruit have been picked?original ↗
16 Jun 2018
15 Jun 2018
Can somebody please untangle this one for us? Are centrists more, or less, supportive of democracy, compared to political extremists?original ↗
13 Jun 2018
12 Jun 2018
A style of argument can be effective in an intellectual backwater but fail in the big leagues—but maybe it’s a good thing to have these different research communitiesoriginal ↗
12 Jun 2018
We’re putting together a list of big, high profile goals that proved far more challenging than people had anticipated circa 1970original ↗
11 Jun 2018
10 Jun 2018
5 Jun 2018
5 Jun 2018
3 Jun 2018
“This is a weakness of our Bayesian Data Analysis book: We don’t have a lot of examples with informative priors.”original ↗
3 Jun 2018
31 May 2018
Some experiments are just too noisy to tell us much of anything at all: Political science editionoriginal ↗
29 May 2018
28 May 2018
27 May 2018
27 May 2018
26 May 2018
24 May 2018
“I admire the authors for simply admitting they made an error and stating clearly and without equivocation that their original conclusions were not substantiated.”original ↗
24 May 2018
23 May 2018