Casual Inference
Lucy D'Agostino McGowan and Ellie MurrayKeep it casual with the Casual Inference podcast. Your hosts Lucy D'Agostino McGowan and Ellie Murray talk all things epidemiology, statistics, data science, causal inference, and public health. Sponsored by the American Journal of Epidemiology.
| Publishes | Twice monthly | Episodes | 68 | Founded | 6 years ago |
|---|---|---|---|---|---|
| Categories | MathematicsScience | ||||
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Emily Riederer is a Data Science Senior Manager at Credit Risk Modeling Capital One. Her website can be found here: www.emilyriederer.com/ Follow along on Bluesky: • Emily: @emilyriederer.bsky.social
• Ellie: @epiellie.bsky.social
• L... more
Carly Brantner is an assistant professor of Biostatistics & Bioinformatics at Duke University and Duke Clinical Research Institute.
Resources from this episode: • multicate: R package for estimating conditional average treatment effects across on... more
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” section in his {marginaleffects} book: m... more
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 attention after being promoted by RFK Jr. as evidence that v... more
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- Great content
I absolutely love the content of this podcast. Everything about it. I just listened to the optimizing data workflows episode and the tone and use of filler language were out-of-control distracting. It was hard to get through and focus on what was being said, which is was very interested in. If the hosts can work on minimizing the, “like, literally, whatever” 💁🏻♀️, then this would be a perfect podcast.
Apple Podcasts4Megjhart
United States3 months ago - hello, there are people listening to you
My first encounter with this podcast, an episode about subject X. The hosts start by discussing the topic of the previous episode and keep taking about it. I skip a few minutes and start from 9 minutes into the episode. They still have not moved to subject X! It’s nice that they’re enjoying the conversation and have an opportunity to think deeply about that previous issue, but what about the audience?
Apple Podcasts2Baal'sack
United Kingdom3 months ago - Guests don’t get to talk much
They invite amazing guests, but it’s mostly the hosts who do most of the talking. Please let your guests talk!
Apple Podcasts2Jminator001
Canada5 months ago - Casual voices = casual infer!
Two things. First and most importantly, this is among the very best, most fun, most useful podcasts I’ve found. Thank you both for the time and work that you devote to sharing your (and others’) expertise in this awesome podcast. Second (from this Linklater-trained sometime-performer, now translational almost-PhD, modeling enthusiast, chronically under-slept parent, here): GUYS! Guys (or girls). Lay off the vocal critiques. Women scientists get disproportionately scrutinized for anything other t... more
Apple Podcasts5kkflo00177United States5 months ago - Vocal Fry
Love the concept, the hosts are very knowledgeable. However, it’s so difficult to focus on what the topics are when the voices quite literally make my ears hurt.
Apple Podcasts3MelFierrosUnited Statesa year ago
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Apple Podcasts | #9 | United States/Science/Mathematics |
Apple Podcasts | #6 | Canada/Science/Mathematics |
Apple Podcasts | #7 | United Kingdom/Science/Mathematics |
Apple Podcasts | #19 |  Australia/Science/Mathematics |
Apple Podcasts | #19 |  Italy/Science/Mathematics |
Apple Podcasts | #27 |  Germany/Science/Mathematics |
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Frequently Asked Questions About Casual Inference
What is Casual Inference about and what kind of topics does it cover?
Focusing on topics related to epidemiology, statistics, data science, and causal inference, the conversations are both insightful and accessible, appealing to both laypeople and professionals. The hosts engage with experts across various fields, offering diverse perspectives on intricate subjects related to public health and data analysis. Unique for its casual tone, this podcast merges academic rigor with approachable dialogue, allowing listeners to grasp complex concepts without feeling overwhelmed.
Where can I find podcast stats for Casual Inference?
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How many listeners does Casual Inference get?
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What are the audience demographics for Casual Inference?
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Which podcasts are similar to Casual Inference?
These podcasts share a similar audience with Casual Inference:
1. SERious EPI
2. Data Skeptic
3. Super Data Science: ML & AI Podcast with Jon Krohn
4. The Quanta Podcast
5. The Numberphile Podcast
How many episodes of Casual Inference are there?
Casual Inference launched 6 years ago and published 68 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.
How do I contact Casual Inference?
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Where can I see ratings and reviews for Casual Inference?
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What guests have appeared on Casual Inference?
Recent guests on Casual Inference include:
1. Emily Riederer
2. Carly Brantner
3. Andrew Heiss
4. Noah Greifer
5. Len Testa
6. Alyssa Bilinski
7. Stephen Mumford
8. Sheree Bekker
To view more recent guests and their details, simply upgrade your Rephonic account. You'll also get access to a typical guest profile to help you decide if the show is worth pitching.