Casual Inference Podcast

Optimizing Data Workflows with Emily Riederer | Season 6 Episode 8 — Casual Inference Emily Riederer is a Data Science Senior Manager at Credit Risk Modeling Capital One. Her website can be found here: Follow along on Bluesky: Emily: Ellie: Lucy: 🎶 Our intro/outro music is courtesy of ...

Such an enjoyable @casualinfer.bsky.social pod with @emilyriederer.bsky.social!

They talked a lot about how to communicate analysis. I definitely fell into the trap of sharing my journey to the answer vs. crafting the thing to share that will resonate with the audience

overcast.fm/+AAVJTo4QVAs

Had a fantastic time talking with @lucystats.bsky.social and @epiellie.bsky.social about data science communication, causal work in academia vs industry, and more! (wherein I also soft commit to ~3 WIP blog posts 😬)

One of my all time favorite podcasts — downside is I get one fewer net new episodes

This was such a fun conversation — I am a HUGE fan of @emilyriederer.bsky.social’s writing, it was great to get to talk with her about some of it!

Casual Inference: Optimizing Data Workflows with Emily Riederer | Season 6 Episode 8 Emily Riederer is a Data Science Senior Manager at Credit Risk Modeling Capital One. Her website can be found here:   Follow along on Bluesky: Emily: Ellie:  Lucy:    🎶 Our i...

🎙️ This week @epiellie.bsky.social & @lucystats.bsky.social chat with @emilyriederer.bsky.social about data workflows, A/B tests in industry, and more!

casualinfer.libsyn.com/site/optimiz...

Our next podcast episode is out now.

If you’re at SER, don’t forget to download it so you’ll have something to listen to on your flight home!

I always love chatting with Carly!! This week’s is an awesome one!

Casual Inference: Combining Data & Making Effects Generalizable with Carly Brantner | Season 6 Episode 7 Carly Brantner is an assistant professor of Biostatistics & Bioinformatics at Duke University and Duke Clinical Research Institute. Follow along on Bluesky: Carly: Ellie:  Lucy:  &n...

🎙️ This week @epiellie.bsky.social & @lucystats.bsky.social chat with @carlybrantner.bsky.social about combining data, treatment heterogeneity, and making effects generalizable!

casualinfer.libsyn.com/site/combini...

Ah! It’s the right link in the text but the wrong one in the card! Reposting now 🙏

Casual Inference: The Art of Clarity with Andrew Heiss | Season 6 Episode 6 Andrew Heiss is an assistant professor in the Department of Public Management and Policy at the Andrew Young School of Policy Studies at Georgia State University. Vincent’s “What is your estimand” s...

🎙️ This week @epiellie.bsky.social & @lucystats.bsky.social chat with @carlybrantner.bsky.social about combining data, treatment heterogeneity, and making effects generalizable!

casualinfer.libsyn.com/site/combini...

Had a dream where I was in the hospital with a roommate who would not shut up about causal inference and talked all my visitors' ears off about it. Turns out I fell asleep with a podcasts playing and reached @andrew.heiss.phd's episode on @lucystats.bsky.social and @epiellie.bsky.social's show.

Second time's the charm- after trying out the habit and not managing to stick to it last year, this month I've been winning with the @casualinfer.bsky.social podcasts as an easy & informative way to fit CPD into my life. Big thanks to @epiellie.bsky.social & @lucystats.bsky.social!

It was such a delight chatting with Andrew! We have had such a great line up of guests this season!!

Really fun and useful interview! I'm digging this podcast a lot lately! #causalinference

Casual Inference: The Art of Clarity with Andrew Heiss | Season 6 Episode 6 Andrew Heiss is an assistant professor in the Department of Public Management and Policy at the Andrew Young School of Policy Studies at Georgia State University. Vincent’s “What is your estimand” s...

🎙️ This week @epiellie.bsky.social & @lucystats.bsky.social chat with @andrew.heiss.phd, one of the very best when it comes to clear communication of complex topics, check it out!

casualinfer.libsyn.com/site/the-art...

Casual Inference: The Art of Clarity with Andrew Heiss | Season 6 Episode 6 Andrew Heiss is an assistant professor in the Department of Public Management and Policy at the Andrew Young School of Policy Studies at Georgia State University. Vincent’s “What is your estimand” s...

I'm on a podcast! I had a blast talking with @lucystats.bsky.social and @epiellie.bsky.social on @casualinfer.bsky.social! We cover all sorts of fun things: {marginaleffects}, defining estimands, fixed vs. random effects, & how to teach all this stats stuff in accessible ways #databs #EpiSky #rstats

Casual Inference: Study Critique: What Went Wrong and How We'd Do It Differently | Season 6 Episode 5 In this episode Lucy and Ellie dig into a recently publicized paper, "Vaccination and Neurodevelopmental Disorders: A Study of Nine-Year-Old Children Enrolled in Medicaid", which has gained atten...

🎙️ Tune in this week to hear @epiellie.bsky.social & @lucystats.bsky.social’s critique of a recent study (and hear how they’d have tried to design it)

casualinfer.libsyn.com/site/study-c...

I love everything @vincentab.bsky.social does, but I truly believe in {marginaleffects} and I'm so glad he got the opportunity to tell more people about it on this episode of @casualinfer.bsky.social. I'm honored to have been a part of the package and get a nice shoutout :)

Hey, I'm on the Casual Inference podcast this week!

I've been a massive fan of @lucystats.bsky.social and @epiellie.bsky.social since Episode 1 of Casual Inference. Talking to great experts (and conversationalists!) like them was a ton of fun.

Thanks so much for the invitation!

Casual Inference: From Model to Meaning with Vincent Arel-Bundock | Season 6 Episode 4 Vincent Arel-Bundock is a professor at the Université de Montréal, where he studies comparative and international political economy. Vincent's website: Vincent's book "Model to Meaning: How ...

🎙️ On this week’s episode @vincentab.bsky.social joins to chat with @epiellie.bsky.social & @lucystats.bsky.social about making statistical model output more meaningful via the {marginaleffects} package (and more!)

casualinfer.libsyn.com/site/from-mo...

I loved being a guest on the Casual Inference Podcast with @lucystats.bsky.social and @epiellie.bsky.social, two of my science heroes! Listen to hear us talk about overlap weighting, balance, CBPS, M-estimation, managing trade-offs, and science communication!

#episky #statssky #causalsky

Listen on Spotify here: open.spotify.com/episode/3NPB...

Apple Podcasts here: podcasts.apple.com/us/podcast/c...

It was delightful to have @noahgreifer.bsky.social on the podcast — as always I learned so much!

Casual Inference: Propensity Scores, R Packages, and Practical Advice with Noah Greifer | Season 6 Episode 3 Noah Greifer is a statistical consultant and programmer at Harvard University. Episode notes: WeightIt package:  MatchIt package: Noah's awesome Stack Exchange post: Follow along on Blu...

🎙️ Check out our latest episode with @noahgreifer.bsky.social! @epiellie.bsky.social & @lucystats.bsky.social chat with Noah about cool weighting methods, R packages, and more!

casualinfer.libsyn.com/site/propens...

FYI, our Casual Inference podcast is back with Season 6!!

In this week’s episode, @lucystats.bsky.social & I talk about LLMs including how we can and can’t use them for causal inference!

You don’t want to miss it!👇🏼

Casual Inference: Causal Assumptions and Large Language Models | Season 6 Episode 2 Lucy and Ellie chat about large language models, chat interfaces, and causal inference. Do LLMs Act as Repositories of Causal Knowledge?: Follow along on Twitter: The American Journal of Epidemio...

🎙️ New Episode! This week @epiellie.bsky.social & @lucystats.bsky.social chat about causal inference assumptions & large language models!

🎧 Listen here: casualinfer.libsyn.com/causal-assum...

Thank you!!

Casual Inference: Data Integration for Impact with Len Testa | Season 6 Episode 1 Lucy chats with Len Testa about a recent analysis he did which combined over 150 publicly available data sources to answer a question about the affordability of Disney World. Len's Deep Dive Post on ...

🎙️ And we're back! Check out our first episode of Season 6! @lucystats.bsky.social chats with @lentesta.bsky.social about an analysis he did that combined over 150 publicly available data sources to answer a question about the affordability of Disney World

casualinfer.libsyn.com/data-integra...