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Andrew Gelman

statmodeling.stat.columbia.edu

2014

On deck this monthoriginal ↗
24 Mar 2014
Greg Mankiw’s utility functionoriginal ↗
23 Mar 2014
Win probabilities during a sporting eventoriginal ↗
23 Mar 2014
Picking pennies in front of a steamroller: A parable comes to lifeoriginal ↗
22 Mar 2014
Postdoc at Rennes on multilevel missing data imputationoriginal ↗
22 Mar 2014
Random matrices in the newsoriginal ↗
21 Mar 2014
Teaching Bayesian applied statistics to graduate students in political science, sociology, public health, education, economics, . . .original ↗
20 Mar 2014
The candy weighing demonstration, or, the unwisdom of crowdsoriginal ↗
20 Mar 2014
How Americans voteoriginal ↗
19 Mar 2014
Those wacky anti-Bayesians used to be intimidating, but now they’re just patheticoriginal ↗
18 Mar 2014
In the best alternative histories, the real world is what’s ultimately realoriginal ↗
17 Mar 2014
On deck this week: Revisitingsoriginal ↗
17 Mar 2014
Ma conférence demain (mardi) à l’École Polytechniqueoriginal ↗
17 Mar 2014
“I have no idea who Catalina Garcia is, but she makes a decent ruler”original ↗
16 Mar 2014
Problematic interpretations of confidence intervalsoriginal ↗
15 Mar 2014
Recently in the sister blogoriginal ↗
15 Mar 2014
The maximal information coefficientoriginal ↗
14 Mar 2014
An Economist’s Guide to Visualizing Dataoriginal ↗
13 Mar 2014
More on publishing in journalsoriginal ↗
12 Mar 2014
The myth of the myth of the myth of the hot handoriginal ↗
11 Mar 2014
What if I were to stop publishing in journals?original ↗
11 Mar 2014
Stan Model of the Week: PK Calculation of IV and Oral Dosingoriginal ↗
10 Mar 2014
Preregistration: what’s in it for you?original ↗
10 Mar 2014
On deck this week: Things people sent meoriginal ↗
10 Mar 2014
Hipmunk workedoriginal ↗
9 Mar 2014
Reviewing the peer review process?original ↗
9 Mar 2014
Disagreeing to disagreeoriginal ↗
8 Mar 2014
Selection bias in the reporting of shaky researchoriginal ↗
7 Mar 2014
How much time (if any) should we spend criticizing research that’s fraudulent, crappy, or just plain pointless?original ↗
6 Mar 2014
Plagiarism, Arizona styleoriginal ↗
5 Mar 2014
Literal vs. rhetoricaloriginal ↗
4 Mar 2014
Running into a Stan Reference by Accidentoriginal ↗
3 Mar 2014
What is the appropriate time scale for blogging—the day or the week?original ↗
3 Mar 2014
What is it with Americans in Olympic ski teams from tropical countries?original ↗
2 Mar 2014
“We are moving from an era of private data and public analyses to one of public data and private analyses. Just as we have learned to be cautious about data that are missing, we may have to be cautious about missing analyses also.”original ↗
1 Mar 2014
Combining two of my interestsoriginal ↗
28 Feb 2014
God/leaf/treeoriginal ↗
28 Feb 2014
“What Can we Learn from the Many Labs Replication Project?”original ↗
27 Feb 2014
A good comment on one of my papersoriginal ↗
26 Feb 2014
Econometrics, political science, epidemiology, etc.: Don’t model the probability of a discrete outcome, model the underlying continuous variableoriginal ↗
26 Feb 2014
Basketball Stats: Don’t model the probability of win, model the expected score differential.original ↗
25 Feb 2014
“Edlin’s rule” for routinely scaling down published estimatesoriginal ↗
24 Feb 2014
On deck this weekoriginal ↗
24 Feb 2014
Postdoc with Huffpost Pollster to do Bayesian poll trackingoriginal ↗
23 Feb 2014
Quickiesoriginal ↗
22 Feb 2014
The world’s most popular languages that the Mac documentation hasn’t been translated intooriginal ↗
21 Feb 2014
Do differences between biology and statistics explain some of our diverging attitudes regarding criticism and replication of scientific claims?original ↗
20 Feb 2014
The replication and criticism movement is not about suppressing speculative research; rather, it’s all about enabling science’s fabled self-correcting natureoriginal ↗
19 Feb 2014
Florida backlashoriginal ↗
18 Feb 2014
The Washington Post reprints university press releases without editing themoriginal ↗
17 Feb 2014
On deck this weekoriginal ↗
17 Feb 2014
There’s no need for you to read this oneoriginal ↗
16 Feb 2014
Mary, Mary, why ya bugginoriginal ↗
15 Feb 2014
The popularity of certain baby names is falling off the cliffffffffffffforiginal ↗
14 Feb 2014
CmdStan, RStan, PyStan v2.2.0original ↗
14 Feb 2014
Stopping rules and Bayesian analysisoriginal ↗
13 Feb 2014
How to think about “identifiability” in Bayesian inference?original ↗
12 Feb 2014
My talks in Bristol this Wed and London this Thursoriginal ↗
11 Feb 2014
More on US health care overkilloriginal ↗
10 Feb 2014
On deck this weekoriginal ↗
10 Feb 2014
Keli Liu and Xiao-Li Meng on Simpson’s paradoxoriginal ↗
9 Feb 2014
“Guys who do more housework get less sex”original ↗
8 Feb 2014
Outrage of the weekoriginal ↗
7 Feb 2014
Bootstrap averaging: Examples where it works and where it doesn’t workoriginal ↗
6 Feb 2014
Prior distribution for a predicted probabilityoriginal ↗
5 Feb 2014
Special discount on Stan! $999 cheaper than Revolution R!original ↗
4 Feb 2014
Widening the goalposts in medical trialsoriginal ↗
4 Feb 2014
Peabody here.original ↗
4 Feb 2014
One-way street fallacy again! in reporting of research on brothers and sistersoriginal ↗
3 Feb 2014
Microfoundations of macroeconomicsoriginal ↗
2 Feb 2014
Recently in the sister blogoriginal ↗
1 Feb 2014
Into the thicket of variation: More on the political orientations of parents of sons and daughters, and a return to the tradeoff between internal and external validity in design and interpretation of research studiesoriginal ↗
31 Jan 2014
History is too important to be left to the history professors, Part 2original ↗
30 Jan 2014
Stupid R Tricks: Random Scopeoriginal ↗
29 Jan 2014
“Questioning The Lancet, PLOS, And Other Surveys On Iraqi Deaths, An Interview With Univ. of London Professor Michael Spagat”original ↗
29 Jan 2014
History is too important to be left to the history professorsoriginal ↗
28 Jan 2014
“Disappointed with your results? Boost your scientific paper”original ↗
27 Jan 2014
Best blog comment everoriginal ↗
27 Jan 2014
Twitter sucks, and people are gullible as f…original ↗
26 Jan 2014
Infoviz on top of stat graphic on top of spreadsheetoriginal ↗
26 Jan 2014
Xihong Lin on sparsity and densityoriginal ↗
25 Jan 2014
Parables vs. storiesoriginal ↗
24 Jan 2014
Discussion on preregistration of research studiesoriginal ↗
23 Jan 2014
Spell-checking example demonstrates key aspects of Bayesian data analysisoriginal ↗
22 Jan 2014
Everything I need to know about Bayesian statistics, I learned in eight schools.original ↗
21 Jan 2014
The Commissar for Traffic presents the latest Five-Year Planoriginal ↗
21 Jan 2014
Mailing List Degree-of-Difficulty Difficultyoriginal ↗
20 Jan 2014
The AAA Tranche of Subprime Scienceoriginal ↗
20 Jan 2014
“The British amateur who debunked the mathematics of happiness”original ↗
19 Jan 2014
Transformations for non-normal dataoriginal ↗
19 Jan 2014
A course in sample surveys for political scienceoriginal ↗
18 Jan 2014
How to think about the statistical evidence when the statistical evidence can’t be conclusive?original ↗
17 Jan 2014
Against overly restrictive definitions: No, I don’t think it helps to describe Bayes as “the analysis of subjective
 beliefs” (nor, for that matter, does it help to characterize the statements of Krugman or Mankiw as not being “economics”)original ↗
16 Jan 2014
Postdoc involving pathbreaking work in MRP, Stan, and the 2014 election!original ↗
15 Jan 2014
Advice on writing research articlesoriginal ↗
14 Jan 2014
Postdoc with Liz Stuart on propensity score methods when the covariates are measured with errororiginal ↗
13 Jan 2014
Judea Pearl overview on causal inference, and more general thoughts on the reexpression of existing methods by considering their implicit assumptionsoriginal ↗
13 Jan 2014
Things that I like that almost nobody else is interested inoriginal ↗
12 Jan 2014
“At the risk of deviating from the standards of close reading, this requires some context”original ↗
12 Jan 2014
3 years out of date on the whole Dennis the dentist thing!original ↗
10 Jan 2014
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