Casual Inference

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.

Study Critique: What Went Wrong and How We'd Do It Differently | Season 6 Episode 5
May 8, 2025 – 55:22
From Model to Meaning with Vincent Arel-Bundock | Season 6 Episode 4
Apr 24, 2025 – 45:20
Propensity Scores, R Packages, and Practical Advice with Noah Greifer | Season 6 Episode 3
Apr 10, 2025 – 01:22:09
Causal Assumptions and Large Language Models | Season 6 Episode 2
Mar 27, 2025 – 51:51
Data Integration for Impact with Len Testa | Season 6 Episode 1
Feb 28, 2025 – 44:48
Starting the Conversation on Models with Alyssa Bilinski | Season 5 Episode 11
Jul 10, 2024 – 48:12
Flexible methods with Edward Kennedy | Season 5 Episode 10
Jun 26, 2024 – 38:57
What Sports and Feminism can tell us about Causal Inference with Sheree Bekker & Stephen Mumford | Season 5 Episode 9
Jun 12, 2024 – 49:43
Observational Causal Analyses with Erick Scott | Season 5 Episode 8
May 29, 2024 – 51:43
Friends Let Friends Do Mediation Analysis with Nima Hejazi | Season 5 Episode 7
May 16, 2024 – 59:07
Fun and Game(s) Theory with Aaditya Ramdas | Season 5 Episode 6
May 1, 2024 – 48:23
Cookies, Causal Inference, and Careers with Ingrid Giesinger #Epicookiechallenge | Season 5 Episode 5
Apr 17, 2024 – 46:49
Analyzing the Analysts: Reproducibility with Nick Huntington-Klein | Season 5 Episode 4
Apr 3, 2024 – 45:44
Immortal Time Bias | Season 5 Episode 3
Mar 20, 2024 – 34:37
Targeted Learning with Mar van der Laan | Season 5 Episode 2
Mar 6, 2024 – 51:21
Pros and Cons of Randomized Controlled Trials | Season 5 Episode 1
Feb 21, 2024 – 17:55
Remembering Ralph B. D'Agostino, Sr.
Oct 2, 2023 – 49:37
Evidence Science with Cat Hicks | Season 4 Episode 11
Jul 17, 2023 – 49:41
M-Bias: Much Ado About Nothing? | Season 4 Episode 10
Apr 24, 2023 – 38:55
Thinking about Targeted Learning | Season 4 Episode 9
Apr 11, 2023 – 46:02
Prevention Strategies via the #Epicookiechallenge | Season 4 Episode 8
Mar 29, 2023 – 38:12
Sensitivity Analyses for Unmeasured Confounders | Season 4 Episode 7
Mar 14, 2023 – 38:46
Randomized Controlled Trials: Efficacy versus Effectiveness, Safety vs Safetiness | Season 4 Episode 6
Feb 28, 2023 – 01:07:25
The Value of Instrumental Variables with Maria Glymour | Season 4 Episode 5
Dec 10, 2022 – 01:00:22
Methods chat about personalized medicine and positivity in causal inference | Season 4 Episode 4
Nov 30, 2022 – 51:43
Hot takes and logistic regression love with Travis Gerke | Season 4 Episode 3
Nov 16, 2022 – 54:20
Counterfactual Thinking: Biomarkers, Napster, and Ice-T | Season 4 Episode 2
Nov 4, 2022 – 57:49
Population and Biomedical Data Science with Enrique Schisterman | Season 4 Episode 1
Oct 13, 2022 – 54:51
What is the value of a p-value with Charlie Poole and Chuck Scales | Season 3 Episode 13
May 3, 2022 – 01:16:11
It Depends with Sander Greenland | Season 3 Episode 12
Apr 18, 2022 – 01:27:55
The Intersection of Industrial Engineering and Causal Inference with Toyya Pujol | Season 3 Episode 11
Apr 5, 2022 – 01:04:35
The Intersection of Machine Learning and Causal Inference with Maggie Makar | Season 3 Episode 10
Mar 14, 2022 – 53:52
Artificial Intelligence, Personalized Medicine, and Causal Bounds with Judea Pearl | Season 3 Episode 9
Feb 28, 2022 – 55:04
The history of John Snow, Cholera, and Cookies with Chris Schaich | Season 3 Episode 8
Feb 14, 2022 – 48:45
Asking questions that matter, getting answers that help | Season 3 Episode 7
Dec 5, 2021 – 01:11:47
A Casual Look at Causal Inference History | Season 3 Episode 6
Nov 22, 2021 – 01:12:06
Hanging out in the data science trough of disillusionment with Hilary Parker | Season 3 Episode 5
Nov 8, 2021 – 01:09:42
Metascience with Noah Haber | Season 3 Episode 4
Oct 25, 2021 – 01:08:13
Solving Optimization Problems in Healthcare and Disney Theme Parks with Len Testa | Season 3 Episode 3
Oct 11, 2021 – 57:57
Causal Inference and Network Science for Public Health with Ashley Buchanan | Season 3 Episode 2
Sep 27, 2021 – 59:48
Coronavirus Rapid Tests Sensitivity, Specificity, Messaging, and Use Cases | Season 3 Episode 1
Sep 13, 2021 – 01:01:50
Our Michael Jordan Episode | Season 2 Episode 5
Mar 2, 2021 – 38:51
Health Policy with Julia Raifman | Season 2 Episode 4
Feb 8, 2021 – 01:05:40
Celebrating 100 years with a look forwards and back with the D'Agostinos | Season 2 Episode 3
Jan 21, 2021 – 01:02:56
The Most Ambitious Crossover | Season 2 Episode 2
Dec 15, 2020 – 52:25
Happy Anniversary to Us! | Season 2 Episode 1
Nov 13, 2020 – 54:49
Why Everyone is Excited About Causal Inference These Days with Roger Peng | Episode 18
Oct 30, 2020 – 59:27
Thinking About Schools Reopening From a Causal Perspective with Emily Oster | Episode 17
Oct 16, 2020 – 01:14:51
An Ode to Generalized Linear Models | Episode 16
Oct 2, 2020 – 45:55
Methodological Advances in Causal Inference with Betsy Ogburn | Episode 15
Sep 17, 2020 – 01:14:53