Statistical Modeling (Andrew Gelman) statmodeling.stat.columbia.edu

The Theory and Practice of Oligarchical Collectivism

statmodeling.stat.columbia.edu·73w

The most interesting part of the story is that the publisher went through all these steps of reviewing and revising. If they just want to make money by publish...

statmodeling.stat.columbia.edu·73w·Hacker News

“How a simple math error sparked a panic about black plastic kitchen utensils”: Does it matter when an estimate is off by a factor of 10?

statmodeling.stat.columbia.edu·73w

Harvard lexicon: “Kerfuffle” is what you call it when you completely botched your data but you don’t want to change your conclusions.

statmodeling.stat.columbia.edu·74w·Hacker News

Answering two questions, one about Bayesian post-selection inference and one about prior and posterior predictive checks

statmodeling.stat.columbia.edu·74w

Why am I willing to bet you $100-1000 there will be a Nobel Prize for Adaptive Experimentation in the next 40 years?

statmodeling.stat.columbia.edu·74w

Postdoc position at Northwestern on evaluating AI/ML decision support

statmodeling.stat.columbia.edu·74w

Bias remaining after adjusting for pre-treatment variables. Also the challenges of learning through experimentation.

statmodeling.stat.columbia.edu·74w

Close Reading Archive

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“I work in a biology lab . . . My PI proposed a statistical test that I think is nonsense. . .”

statmodeling.stat.columbia.edu·74w

“Of course, this could conceivably be a case of near unbelievable luck: A flawed analysis based on wrong assumptions gave an unusually large causal effect estim...

statmodeling.stat.columbia.edu·74w

“Of course, this could conceivably be a case of near unbelievable luck: A flawed analysis based on wrong assumptions gave an unusually large causal effect estim...

statmodeling.stat.columbia.edu·74w

New Course: Prediction for (Individualized) Decision-making

statmodeling.stat.columbia.edu·74w

Gayface Data Replicability Problems

statmodeling.stat.columbia.edu·74w

Michael Clayton in NYC

statmodeling.stat.columbia.edu·75w

Hey, journalist readers! Does anyone have a contact at NPR?

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Credit where due to NPR regarding science data fraud, and here’s how they can do even better

statmodeling.stat.columbia.edu·75w

4 different meanings of p-value (and how my thinking has changed)

statmodeling.stat.columbia.edu·75w

Toward a unified theory of bad science and bad scholarship

statmodeling.stat.columbia.edu·75w

Understanding p-values: Different interpretations can be thought of not as different “philosophies” but as different forms of averaging.

statmodeling.stat.columbia.edu·75w

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