Elea McDonnell Feit

Inspired by @emilyriederer.bsky.social, I made some pictures for my seminar on causal inference. They are not labeled. Let's see if you can name that research design.

Inspired by @emilyriederer.bsky.social, I made some pictures for my seminar on causal inference. They are not labeled. Let's see if you can name that research design.

Inspired by @emilyriederer.bsky.social, I made some pictures for my seminar on causal inference. They are not labeled. Let's see if you can name that research design.

In reviewing dplyr code written by a PhD student, I'm reminded of how useful base R functions like summary() and str() are for inspecting data and detecting errors.

Maybe my style of interactive debugging is archaic.

In reviewing dplyr code written by a PhD student, I'm reminded of how useful base R functions like summary() and str() are for inspecting data and detecting errors.

An important plea from @lizstuart.bsky.social in today's SCI-OCIS Special Webinar Series:

#Eagles and #Dragons fly together! 💚🦅🤍 💙🐉💛 Drexel will close on Friday to join the rest of #Philly in celebrating the Champions!

Toying with the idea of using RStudio + #quarto + github to manage content for my doctoral seminar on causal inference. I'd like to be able to create short "explainer" documents that integrate math + code + hyperlinks. I don't want this to be a major project. Thoughts on design and workflow?

Regardless of where you stand politically, the separation of powers is a fundamental principle of American democracy. The President should pursue policy goals by working with Congress—not through unilateral actions that undermine the constitutional process and sow uncertainty.

Lots of folks are discovering the relevance of decision theory to the practical problem of analyzing an A/B. A quick🧵

All these decision theoretic approaches to A/B testing are “return-aware” (as Sudijono et al. put it). Statistical errors are weighted according to their effect on profits.

Lots of folks are discovering the relevance of decision theory to the practical problem of analyzing an A/B. A quick🧵

Azevedo et al. 2020 demonstrate that the prior can affect Bayes optimal strategies. So, I say, “if you’ve got priors, use them.” And if you’ve got data on past A/B tests, you use it to form priors.

Lots of folks are discovering the relevance of decision theory to the practical problem of analyzing an A/B. A quick🧵

Bayes regret or minimax regret, which should you use? Minimax regret has the convenient "feature" that it does not require a prior on the treatment effect. But that could be considered a "bug" for companies that have a large number of past A/B test results and can use them to set priors.

Lots of folks are discovering the relevance of decision theory to the practical problem of analyzing an A/B. A quick🧵

I recently came across Manski 2019 that provides an accessible introduction to the minimax regret approach developed in a series of papers by Manski and Tetenov. They focus on applications to clinical trials, but A/B tests are analogous. (Love _The American Statistican_ BTW.)

Lots of folks are discovering the relevance of decision theory to the practical problem of analyzing an A/B. A quick🧵

New favorite term: plasmode simulation

Methods papers in Marketing Science and Management Science do simulations inspired by real data, but I've never seen it called plasmode simulation.

I'm gearing up to teach @callingbullshit.bsky.social at Drexel during Winter term. I had forgotten how much I love this material. Thanks to @carlbergstrom.com and @jevinwest.bsky.social for putting it together.

@quantuxblog.com convinced me that you can explain mathematical concepts with code just was well as with athematical notation when we wrote R for Marketing. It was nice to see that @allendowney.bsky.social feels the same way in his latest email. #rejectmathsupremacy #probablyoverthinkingit