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Randomization in such studies is arguably a negative in practice

2 years ago statmodeling.stat.columbia.edu

Refuted papers continue to be cited more than their failed replications

2 years ago statmodeling.stat.columbia.edu

Relating t-statistics and the relative width of confidence intervals

2 years ago statmodeling.stat.columbia.edu

The Dean of Engineering at UofNevada wrote a paper so bad, you can't believe it

2 years ago statmodeling.stat.columbia.edu

Pinker was right, I was wrong

2 years ago statmodeling.stat.columbia.edu

Bad stuff going down at the American Sociological Association

2 years ago statmodeling.stat.columbia.edu

What is a standard error? [pdf]

2 years ago stat.columbia.edu pdf

The immediate victims of a con would rather act as if the con never happened

2 years ago statmodeling.stat.columbia.edu

Clarke's Law, and who's to blame for bad science reporting

2 years ago statmodeling.stat.columbia.edu

Bayesians moving from defense to offense

2 years ago statmodeling.stat.columbia.edu

Russell's Paradox of ghostwriters

2 years ago statmodeling.stat.columbia.edu

Dorothy Bishop on the prevalence of scientific fraud

2 years ago statmodeling.stat.columbia.edu

I disagree with Geoff Hinton regarding "glorified autocomplete"

2 years ago statmodeling.stat.columbia.edu

A successful example of "adversarial collaboration"

2 years ago statmodeling.stat.columbia.edu

Questions about synthetic control methods in causal inference

2 years ago statmodeling.stat.columbia.edu

Why are functional programming languages so popular in the programming languages community? (2018)

3 years ago statmodeling.stat.columbia.edu compiler plt

Non-Standard Errors [pdf]

3 years ago statmodeling.stat.columbia.edu pdf

What happened with HMOs?

3 years ago statmodeling.stat.columbia.edu

Slides on large language models for statisticians

3 years ago statmodeling.stat.columbia.edu

Point Estimation of Covariance Matrices in Hierarchical Models (2015) [pdf]

3 years ago stat.columbia.edu pdf

Additional recommendations for designing experiments to learn about the world [pdf]

3 years ago stat.columbia.edu pdf

Should we take measurements at an intermediate design point? [pdf]

3 years ago stat.columbia.edu pdf

When can you know the Type I error rate for your analysis

3 years ago statmodeling.stat.columbia.edu

Using predictions from arbitrary models to get tighter confidence intervals

3 years ago statmodeling.stat.columbia.edu

Analog computing and hybrid computing: The view from 1962

3 years ago statmodeling.stat.columbia.edu

ChatGPT4 writes Stan code so I don’t have to

3 years ago statmodeling.stat.columbia.edu

Example of the general issue of the importance of measurement in statistics

3 years ago statmodeling.stat.columbia.edu

They say that stocks go down during the day and up at night

3 years ago statmodeling.stat.columbia.edu

The Undying Holiday-Suicide Myth

3 years ago statmodeling.stat.columbia.edu

Scale transform -50 x*x + 240 x – 7

3 years ago statmodeling.stat.columbia.edu

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