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Title

Description

Keywords

H1

Statistical Modeling, Causal Inference, and Social Science

H2

All inference is about generalizing from sample to population

Measurement error in monkey studies

“I mean, what exact buttons do I have to hit?”

Improvements to Kindle Version of BDA3

“The comment section is open, but I’m not going to read them”

Workshop for Women in Machine Learning

BDA3 table of contents (also a new paper on visualization)

Job opening at an organization that promotes reproducible research!

Correcting for multiple comparisons in a Bayesian regression model

BDA3 still (I hope) at 40% off! (and a link to one of my favorite papers)

A lot of statistical methods have this flavor, that they are a solution to a mathematical problem that has been posed without a careful enough sense of whether the problem is worth solving in the first place

Somebody’s looking for a book on time series analysis in the style of Angrist and Pischke, or Gelman and Hill

BDA at 40% off!

Learning about correlations using cross-sectional and over-time comparisons between and within countries

More on AIC, WAIC, etc

Blaming scientific fraud on the Kuhnians

The robust beauty of improper linear models in decision making

Convincing Evidence

Test scores and grades predict job performance (but maybe not at Google)

Fixing the race, ethnicity, and national origin questions on the U.S. Census

Debutante Hill

The birthday problem

Understanding predictive information criteria for Bayesian models

For chrissake, just make up an analysis already! We have a lab here to run, y’know?

Statistical significance and the dangerous lure of certainty

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H3

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H5

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Cloud of Keywords from all content

High relevance

Medium relevance

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