Keep 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.
Casual Inference
Claim This Podcastby Lucy D'Agostino McGowan and Ellie Murray
4.6(168 reviews)
68 episodes
Updated Bi-weekly
Accepts GuestsHas SponsorsLocation 🇺🇸
48
Podcast Authority
BetaFairBased on show quality, social media presence, reviews, charts, and more
Quality59
Social0
YouTube0
Engagement95
Podcast Overview
Keep 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.
Language
🇺🇲
Publishing Since
11/1/2019
Unlock The Full Podcast Authority Score Report
See how your podcast performs across key metrics
48
Podcast Authority
BetaFairBased on show quality, social media presence, reviews, charts, and more
Quality59
Social0
YouTube0
Engagement95
7
Excellent Areas
2
Good Performance
10
Growth Opportunities
excellent
Episode Length
51 minutes
Performing excellently!
good
Listener Reviews
157 reviews (4.6/5.0)
Recommendations available
Unlock the full report to see detailed tips
poor
Publishing Consistency
Every 30 days
Recommendations available
Unlock the full report to see detailed tips
+16 More Metrics
Unlock comprehensive insights including:
- • YouTube presence analysis
- • Social media reach metrics
- • RSS compliance scoring
- • Podcast 2.0 features
- • Technical standards
What's Included in Your Full Report
Detailed Analytics
- Complete breakdown of all 19 authority metrics
- Personalized recommendations for each metric
- Industry benchmarks and comparisons
- Technical RSS feed analysis and compliance scoring
Growth Strategies
- Step-by-step action plans for improvement
- Quick wins to boost your score immediately
- Pro tips from successful podcasters
Get your free podcast insights report
See how your show performs across every key metric
Instant delivery
No spam
Attract Better Guests
High authority scores make your podcast more attractive to industry leaders and influencers who want to appear on credible shows.
Secure Sponsorships
Sponsors look for podcasts with proven authority and engagement. Your score demonstrates your podcast's value to potential partners.
Grow Your Audience
Understanding your strengths and weaknesses helps you make data-driven decisions to expand your listener base effectively.
1 verified contact email on file for Casual Inference
Pitch yourself as a guest, propose sponsorships, or reach out directly to the host.
Recent Episodes
June 26, 2025
Optimizing Data Workflows with Emily Riederer | Season 6 Episode 8
Emily Riederer, Data Science Senior Manager, discusses optimizing data workflows, providing insights into efficient data management and modeling techniques in an interview with the host.
June 12, 2025
Combining Data & Making Effects Generalizable with Carly Brantner | Season 6 Episode 7
Carly Brantner, Assistant Professor at Duke University, discusses combining data to make effects more generalizable in an interview with the hosts.
May 29, 2025
The Art of Clarity with Andrew Heiss | Season 6 Episode 6
Professor Andrew Heiss discusses the art of clarity in research, focusing on defining estimands and marginal effects across different disciplines, in an interview with the Casual Inference podcast.
68 total episodes available with 7 transcripts
Recent guests on Casual Inference
Guests from recent episodes — sign up to see every guest that has ever appeared on this show.
Emily Riederer
Guest
Carly Brantner
Guest
Andrew Heiss
Guest
Vincent Arel-Bundock
Guest
Similar Podcasts
Discover related shows you might enjoy
SERious EPI
Sue Bevan - Society for Epidemiologic Research
Quanta Science Podcast
Quanta Magazine
The Ezra Klein Show
New York Times Opinion
Talk Python To Me
Michael Kennedy
Super Data Science: ML & AI Podcast with Jon Krohn
Jon Krohn
DataFramed
DataCamp
Sean Carroll's Mindscape: Science, Society, Philosophy, Culture, Arts, and Ideas
Sean Carroll
Planet Money
NPR
The Daily
The New York Times
Economist Podcasts
The Economist
More or Less: Behind the Stats
BBC Radio 4
Pod Save America
Pod Save America
Learning Bayesian Statistics
Alexandre Andorra
On Investing
Charles Schwab
Data Skeptic
Kyle Polich
Deep-dive analytics for Casual Inference
Frequently asked questions
Have a different question and can't find the answer you're looking for? Reach out to our support team by sending us an email and we'll get back to you as soon as we can.
- What is Casual Inference?
- How often does this podcast release new episodes?
This podcast updates bi-weekly.
- Where can I listen to this podcast?
This podcast is available on 10 platforms including Apple Podcasts, Spotify, and more. You can also use the RSS feed directly.
- Does this podcast accept guests?
Yes, this podcast regularly features guests.
Legal Disclaimer
Pod Engine is not affiliated with, endorsed by, or officially connected with any of the podcasts displayed on this platform. We operate independently as a podcast discovery and analytics service.
All podcast artwork, thumbnails, and content displayed on this page are the property of their respective owners and are protected by applicable copyright laws. This includes, but is not limited to, podcast cover art, episode artwork, show descriptions, episode titles, transcripts, audio snippets, and any other content originating from the podcast creators or their licensors.
We display this content under fair use principles and/or implied license for the purpose of podcast discovery, information, and commentary. We make no claim of ownership over any podcast content, artwork, or related materials shown on this platform. All trademarks, service marks, and trade names are the property of their respective owners.
While we strive to ensure all content usage is properly authorized, if you are a rights holder and believe your content is being used inappropriately or without proper authorization, please contact us immediately at hey@podengine.ai for prompt review and appropriate action, which may include content removal or proper attribution.
By accessing and using this platform, you acknowledge and agree to respect all applicable copyright laws and intellectual property rights of content owners. Any unauthorized reproduction, distribution, or commercial use of the content displayed on this platform is strictly prohibited.