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statmodeling.stat.columbia.edu /5 days ago

“Death and Taxes: Taking Causal Inference into the Real World”

Nandita Mitra is giving a webinar this Tuesday at noon with the above title and the following abstract: Statisticians develop methods with the hope that they will ultimately inform...

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statmodeling.stat.columbia.edu /2 weeks ago

Getting better causal inferences by using more information (my talk at Stanford this coming Wed)

It’s the political economy seminar at Stanford business school, Wed 14 Oct at noon in room M109: Lagged regression, difference in differences, two way fixed effects, regression dis...

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statmodeling.stat.columbia.edu /3 weeks ago

When are Causal Inference Methods Needed to Answer Causal Questions?

Earlier this year we discussed Donna Spiegelman’s talk, “Rethinking SUTVA and Causal Identification: An Epidemiologist’s Perspective,” which she summarized as follows: She’s giving...

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statmodeling.stat.columbia.edu /1 week ago

JAMA rules of engagement on causal and predictive language

Erik, Witold, and I recently published a paper in the Journal of the American Medical Association. This was cool. A day after the paper came out, I ran into someone I know on the s...

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marginalrevolution.com /1 month ago

Overreaching causal language in the social sciences

Across the social sciences, many studies use cross-sectional designs that reveal associations but are generally unable to support direct causal claims, yet authors of such articles...

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statmodeling.stat.columbia.edu /1 month ago

Here’s a causal inference problem: where did the estimate of $64 million come from in “Blake Lively Says She Suffered $...

OK, here’s a causal inference problem for ya: Blake Lively Says She Suffered $64 Million Financial Fallout From Justin Baldoni Conflict . . . In Lively’s memorandum in opposition t...

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medium.com /1 month ago

Meta-Learners in Causal Machine Learning: From Business Questions to Treatment Effects and…

Learn why prediction isn’t enough and how S, T, X, R & DR meta-learners estimate treatment effects for better decisions.Continue reading on Medium »

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statmodeling.stat.columbia.edu /1 month ago

OK, here’s a statistics problem for you, ripped directly from the headlines!

From the NYT: Mayor Zohran Mamdani is expected to propose linking Grand Army Plaza with Prospect Park by closing a dangerous stretch of road between them. . . . The plan would effe...

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statmodeling.stat.columbia.edu /1 day ago

A big problem with conventional experimentation or A/B testing is that the treatment effect can vary over time and it ca...

Andrea Bronzini points to this article and writes: I’m working on experimentation tooling and wrote a brief note about a failure mode I keep seeing: “winning” A/B tests often lose...

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towardsdatascience.com /1 month ago

Your AI Adoption Lift Is a Selection Effect

A practitioner's guide to estimating what an opt-in AI feature actually did, when nobody randomized it. The post Your AI Adoption Lift Is a Selection Effect appeared first on Towar...

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statmodeling.stat.columbia.edu /2 weeks ago

Hey—we’re hiring two postdocs!

I’ll post more formal ads soon, but, very briefly: One project is on generalization for causal inference with a focus on education research, following up on MRPW: Regression, posts...

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adventuresfrugalmom.com /1 month ago

Your dashboard says marketing caused the sale. It probably cannot prove it

Suneel Dasika argues that traditional marketing attribution often confuses correlation with causation. His approach, utilizing holdout experiments, reveals clearer data on advertis...

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medium.com /2 weeks ago

“Average of Ratios or Ratio of Averages?” Why Your iROAS Depends on Who’s Asking

Lets imagine a hypothetical scenario: two marketing analysts measure the same geo experiment. Same regions, same budget cut, same data set…Continue reading on Medium »

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journals.plos.org /1 month ago

The pitfalls of incidence-based time series regression for inferring the effects of weather on infectious diseases

by Pietro Gemo, Laura Andrea Barrero Guevara, Cana Kussmaul, Sarah C. Kramer, Matthieu Domenech de Cellès A central question in environmental epidemiology is how the weather affec...

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towardsdatascience.com /1 month ago

What We Miss About Missing Values

The hidden assumptions behind the data we observe. The post What We Miss About Missing Values appeared first on Towards Data Science.

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