Blog · corpus.blog/blogs/statmodeling.stat.columbia.edu/posts
Andrew Gelman
statmodeling.stat.columbia.edu
2019
New! from Bales/Pourzanjani/Vehtari/Petzold: Selecting the Metric in Hamiltonian Monte Carlooriginal ↗
31 May 2019
30 May 2019
30 May 2019
29 May 2019
27 May 2019
I have zero problem with people reporting results they found with p=0.1. Or p=0.2. Whatever. The problem is with the attitude that publication should imply some sort of certainty.original ↗
26 May 2019
Crystallography Corner: The result is difficult to reproduce, but the result is still valid.original ↗
26 May 2019
25 May 2019
21 May 2019
20 May 2019
19 May 2019
18 May 2019
“In 1997 Latanya Sweeney dramatically demonstrated that supposedly anonymized data was not anonymous,” but “Over 20 journals turned down her paper . . . and nobody wanted to fund privacy research that might reach uncomfortable conclusions.”original ↗
16 May 2019
“MRP is the Carmelo Anthony of election forecasting methods”? So we’re doing trash talking now??original ↗
15 May 2019
12 May 2019
7 May 2019
6 May 2019
Do regression structures affect research capital? The case of pronoun drop. (also an opportunity to quote Bertrand Russell: This is one of those views which are so absurd that only very learned men could possibly adopt them.)original ↗
5 May 2019
4 May 2019
A thought on Bayesian workflow: calculating a likelihood ratio for data compared to peak likelihood.original ↗
2 May 2019
1 May 2019
A debate about effect-size variation in psychology: Simmons and Simonsohn; McShane, Böckenholt, and Hansen; Judd and Kenny; and Stanley and Doucouliagosoriginal ↗
30 Apr 2019
Continuing discussion of status threat and presidential elections, with discussion of challenge of causal inference from survey dataoriginal ↗
29 Apr 2019
26 Apr 2019
26 Apr 2019
25 Apr 2019
“Appendix: Why we are publishing this here instead of as a letter to the editor in the journal”original ↗
24 Apr 2019
23 Apr 2019
No, its not correct to say that you can be 95% sure that the true value will be in the confidence intervaloriginal ↗
21 Apr 2019
18 Apr 2019
“Sometimes all we have left are pictures and fear”: Dan Simpson talk in Columbia stat dept, 4pm Mondayoriginal ↗
18 Apr 2019
The network of models and Bayesian workflow, related to generative grammar for statistical modelsoriginal ↗
16 Apr 2019
Parliamentary Constituency Factsheet for Indicators of Nutrition, Health and Development in Indiaoriginal ↗
16 Apr 2019
15 Apr 2019
Several reviews of Deborah Mayo’s new book, Statistical Inference as Severe Testing: How to Get Beyond the Statistics Warsoriginal ↗
12 Apr 2019
What sort of identification do you get from panel data if effects are long-term? Air pollution and cognition example.original ↗
11 Apr 2019
What is the most important real-world data processing tip you’d like to share with others?original ↗
10 Apr 2019
“How Sloppy Science Creates Worthless Cures, Crushes Hope, and Wastes Billions” . . . and still stays around even after it’s been retractedoriginal ↗
9 Apr 2019
8 Apr 2019
Research topic on the geography of partisan prejudice (more generally, county-level estimates using MRP)original ↗
7 Apr 2019
“Heckman curve” update: The data don’t seem to support the claim that human capital investments are most effective when targeted at younger ages.original ↗
6 Apr 2019
“The Long-Run Effects of America’s First Paid Maternity Leave Policy”: I need that trail of breadcrumbs.original ↗
4 Apr 2019
3 Apr 2019