alex hayes

Also, we think people should stop using forensic meta-analytic techniques that have not been adequately vetted by experts in statistics. The p curve papers have very little statistical detail, and were published in psych journals. They did not get scrutiny appropriate to their popularity. 15/?

Makes sense! Thanks!

Is there an alternative that does these things?

Is this what ggplot2::geom_dotplot() does?

Or slightly more specifically: do you use both approaches? Do you mix them? If you use them at different times, when?

I'm curious if you have any thoughts on how this notebook-based approach to data analysis differs/is/isn't compatible with {targets} and build-system style approaches to data analysis

More generally there's a whole industry of accounting for homophily via network embeddings, in which case you can think of the network as a proxy for the latent thing driving homophily

What are the standard CMR reasons?

Not perfect but the meditation data example in my paper on network mediation is essentially proximal inference in a parametric setting

jmlr.org/papers/volum...

This workshop is going to be great fun, and I really look forward to meeting everyone!

It would mean a lot to me if you signed up!

I'm presenting in the Business and Economic Statistics Student Paper Awards session:

Peer effects in the linear-in-means model may be inestimable even when identified

Thursday, Aug 7, 8:30 AM - 10:20 AM
Music City Center, Room CC-103C

I'll be #JSM2025 from Sun Aug 3 - Thurs Aug 7

Excited to chat with folks! These days I'm thinking about:

- peer effects
- measurement error in networks
- stochastic blockmodels and friends
- causal inference on networks
- semi-parametric mediation & transportability
- #rstats

@allendowney.bsky.social this seems up your alley given your interest in Simpson's paradox showing up in data

How Quarto embed fixes data science storytelling | Emily Riederer Literate programming excels at capturing our stream of conscience. Our stream of conscience does not excel at explaining the impact of our work. Notebooks enable some of data scientists’ worst tendenc...

Technical writing is hard bcs "writing is thinking" but we often should tell our story not in the order we worked. Solution? I wrote a quick post on how @quarto.org 's embed shortcodes can reframe technical writing as reproducible evidence curation

www.emilyriederer.com/post/quarto-...

🧵 (1/n)

Yeah, building a thing is not enough to get people to use the thing

A retrospective analysis of 400 publications reveals patterns of irreproducibility across an entire life sciences research field The ReproSci project retrospectively analyzed the reproducibility of 1006 claims from 400 papers published between 1959 and 2011 in the field of Drosophila immunity. This project attempts to provide a...

www.biorxiv.org/content/10.1...

Fascinating reads! If you find yourself looking for ways to automate trust & safety guardrails based off proxies of bad/undesirable behaviors, I have some work in the pipeline and would love to chat :)

I think the core critique of SEM stuff is that it's a bunch of parametric linear regressions/covariance assumptions in a trench coat

Causal folks these days very much think that non/semi-parametric methods are better

My rough mental model is that SEMs are linearized DAGs

Woah this is super cool!

Ideally per subject but interested in both!

cc @apoorvalal.com in case you have any leads on this

Do folks know about A/B testing datasets where information about guardrail metrics is released alongside outcomes? #rstats #datascience #kaggle

Yeah I think I really meant science rather than STEM

Intriguing! Did this paper end up justifying a variance estimate that you already knew was a good idea, or did it show you how to get a variance estimate when you didn't know about before?

boosting for the weekend crowd

The latter 😂

Any tips and tricks for @typst.app <-> LaTeX translations?

Pandoc is struggling with custom macros for notation and I'm weary of LLMs for technical writing (plus context window issues)

I genuinely appreciate your thoughts and perspective here! Also I think it's good for statisticians to see people yelling at us 🤣

I agree, I think these are things the field should contend with

Thanks, I appreciate the note. And yeah, the priorities can get pretty weird sometimes!