Blog · corpus.blog/blogs/statmodeling.stat.columbia.edu/posts
Andrew Gelman
statmodeling.stat.columbia.edu
2020
5 Apr 2020
4 Apr 2020
2 Apr 2020
1 Apr 2020
31 Mar 2020
“How to be Curious Instead of Contrarian About COVID-19: Eight Data Science Lessons From Coronavirus Perspective”original ↗
31 Mar 2020
29 Mar 2020
I’m still struggling to understand hypothesis testing . . . leading to a more general discussion of the role of assumptions in statisticsoriginal ↗
28 Mar 2020
“For the cost of running 96 wells you can test 960 people and accurate assess the prevalence in the population to within about 1%. Do this at 100 locations around the country and you’d have a spatial map of the extent of this epidemic today. . . and have this data by Monday.”original ↗
27 Mar 2020
Let’s do preregistered replication studies of the cognitive effects of air pollution—not because we think existing studies are bad, but because we think the topic is important and we want to understand it better.original ↗
27 Mar 2020
26 Mar 2020
Corona virus presentation by the Dutch CDC, also some thoughts on the audience for these sorts of presentationsoriginal ↗
25 Mar 2020
24 Mar 2020
Some recommendations for design and analysis of clinical trials, with application to coronavirusoriginal ↗
23 Mar 2020
22 Mar 2020
20 Mar 2020
20 Mar 2020
Hilda Bastian and John Ioannidis on coronavirus decision making; Jon Zelner on virus progression modelsoriginal ↗
18 Mar 2020
18 Mar 2020
Estimates of the severity of COVID-19 disease: another Bayesian model with poststratificationoriginal ↗
18 Mar 2020
17 Mar 2020
“A Path Forward for Stan,” from Sean Talts, former director of Stan’s Technical Working Grouporiginal ↗
17 Mar 2020
15 Mar 2020
“Are Relational Inferences from Crowdsourced and Opt-in Samples Generalizable? Comparing Criminal Justice Attitudes in the GSS and Five Online Samples”original ↗
15 Mar 2020
14 Mar 2020
11 Mar 2020
10 Mar 2020
10 Mar 2020
“Non-disclosure is not just an unfortunate, but unfixable, accident. A methodology can be disclosed at any time.”original ↗
8 Mar 2020
Coronavirus age-specific fatality ratio, estimated using Stan, and (attempting) to account for underreporting of cases and the time delay to death. Now with data and code. And now a link to another paper (also with data and code).original ↗
7 Mar 2020
6 Mar 2020
4 Mar 2020
3 Mar 2020
As usual, I agree with Paul Meehl: “It is not a reform of significance testing as currently practiced in soft-psych. We are making a more heretical point than any of these: We are attacking the whole tradition of null-hypothesis refutation as a way of appraising theories.”original ↗
3 Mar 2020
So . . . what about that claim that probabilistic election forecasts depress voter turnout?original ↗
2 Mar 2020
Conditioning on a statistical method as a “meta” version of conditioning on a statistical modeloriginal ↗
1 Mar 2020
27 Feb 2020
“New research suggests Sanders would drive swing voters to Trump — and need a youth turnout miracle to compensate.”original ↗
26 Feb 2020
How to embrace variation and accept uncertainty in linguistic and psycholinguistic data analysisoriginal ↗
25 Feb 2020
25 Feb 2020
Rank-normalization, folding, and localization: An improved R-hat for assessing convergence of MCMCoriginal ↗
24 Feb 2020
23 Feb 2020
23 Feb 2020
22 Feb 2020
What’s the American Statistical Association gonna say in their Task Force on Statistical Significance and Replicability?original ↗
21 Feb 2020
20 Feb 2020
An article in a statistics or medical journal, “Using Simulations to Convince People of the Importance of Random Variation When Interpreting Statistics.”original ↗
20 Feb 2020
This study could be just fine, or not. Maybe I’ll believe it if there’s an independent preregistered replication.original ↗
19 Feb 2020
Is it really true that candidates who are perceived as ideologically extreme do even worse if “they actually pose as more radical than they really are”?original ↗
18 Feb 2020
Researcher offers ridiculous reasons for refusing to reassess work in light of serious criticismoriginal ↗
17 Feb 2020
Making differential equation models in Stan more computationally efficient via some analytic integrationoriginal ↗
16 Feb 2020
“Sometimes research just has to start somewhere, and subject itself to criticism and potential improvement.”original ↗
15 Feb 2020