All Episodes
Casual Inference — 75 episodes
Regression to the Mean Girls | Every Man's Causal Inference with Roger Peng
Regression to the Mean Girls | The Marshmallow Test (Not That One) with Mattan Ben-Shachar
Regression to the Mean Girls | Election Data Web Scraping with Emily Riederer
Regression to the Mean Girls | The Art of Web Scraping Art with Hadley Wickham
Regression to the Mean Girls | The Comfort of Competence and the Speed of Justice, According to Law & Order
Regression to the Mean Girls | The Work is Mysterious and Important: Severance Data
Regression to the Mean Girls | Romance by the Numbers: First Sparks Across Tropes
Optimizing Data Workflows with Emily Riederer | Season 6 Episode 8
Combining Data & Making Effects Generalizable with Carly Brantner | Season 6 Episode 7
The Art of Clarity with Andrew Heiss | Season 6 Episode 6
Study Critique: What Went Wrong and How We'd Do It Differently | Season 6 Episode 5
From Model to Meaning with Vincent Arel-Bundock | Season 6 Episode 4
Propensity Scores, R Packages, and Practical Advice with Noah Greifer | Season 6 Episode 3
Causal Assumptions and Large Language Models | Season 6 Episode 2
Data Integration for Impact with Len Testa | Season 6 Episode 1
Starting the Conversation on Models with Alyssa Bilinski | Season 5 Episode 11
Flexible methods with Edward Kennedy | Season 5 Episode 10
What Sports and Feminism can tell us about Causal Inference with Sheree Bekker & Stephen Mumford | Season 5 Episode 9
Observational Causal Analyses with Erick Scott | Season 5 Episode 8
Friends Let Friends Do Mediation Analysis with Nima Hejazi | Season 5 Episode 7
Fun and Game(s) Theory with Aaditya Ramdas | Season 5 Episode 6
Cookies, Causal Inference, and Careers with Ingrid Giesinger #Epicookiechallenge | Season 5 Episode 5
Analyzing the Analysts: Reproducibility with Nick Huntington-Klein | Season 5 Episode 4
Immortal Time Bias | Season 5 Episode 3
Targeted Learning with Mar van der Laan | Season 5 Episode 2
Pros and Cons of Randomized Controlled Trials | Season 5 Episode 1
Remembering Ralph B. D'Agostino, Sr.
Evidence Science with Cat Hicks | Season 4 Episode 11
M-Bias: Much Ado About Nothing? | Season 4 Episode 10
Thinking about Targeted Learning | Season 4 Episode 9
Prevention Strategies via the #Epicookiechallenge | Season 4 Episode 8
Sensitivity Analyses for Unmeasured Confounders | Season 4 Episode 7
Randomized Controlled Trials: Efficacy versus Effectiveness, Safety vs Safetiness | Season 4 Episode 6
The Value of Instrumental Variables with Maria Glymour | Season 4 Episode 5
Methods chat about personalized medicine and positivity in causal inference | Season 4 Episode 4
Hot takes and logistic regression love with Travis Gerke | Season 4 Episode 3
Counterfactual Thinking: Biomarkers, Napster, and Ice-T | Season 4 Episode 2
Population and Biomedical Data Science with Enrique Schisterman | Season 4 Episode 1
What is the value of a p-value with Charlie Poole and Chuck Scales | Season 3 Episode 13
It Depends with Sander Greenland | Season 3 Episode 12
The Intersection of Industrial Engineering and Causal Inference with Toyya Pujol | Season 3 Episode 11
The Intersection of Machine Learning and Causal Inference with Maggie Makar | Season 3 Episode 10
Artificial Intelligence, Personalized Medicine, and Causal Bounds with Judea Pearl | Season 3 Episode 9
The history of John Snow, Cholera, and Cookies with Chris Schaich | Season 3 Episode 8
Asking questions that matter, getting answers that help | Season 3 Episode 7
A Casual Look at Causal Inference History | Season 3 Episode 6
Hanging out in the data science trough of disillusionment with Hilary Parker | Season 3 Episode 5
Metascience with Noah Haber | Season 3 Episode 4
Solving Optimization Problems in Healthcare and Disney Theme Parks with Len Testa | Season 3 Episode 3
Causal Inference and Network Science for Public Health with Ashley Buchanan | Season 3 Episode 2
Coronavirus Rapid Tests Sensitivity, Specificity, Messaging, and Use Cases | Season 3 Episode 1
Our Michael Jordan Episode | Season 2 Episode 5
Health Policy with Julia Raifman | Season 2 Episode 4
Celebrating 100 years with a look forwards and back with the D'Agostinos | Season 2 Episode 3
The Most Ambitious Crossover | Season 2 Episode 2
Happy Anniversary to Us! | Season 2 Episode 1
Why Everyone is Excited About Causal Inference These Days with Roger Peng | Episode 18
Thinking About Schools Reopening From a Causal Perspective with Emily Oster | Episode 17
An Ode to Generalized Linear Models | Episode 16
Methodological Advances in Causal Inference with Betsy Ogburn | Episode 15
Casual Inference Live from SER | Episode 14
Community Engagement, Health Disparities, and Measure Development with Melody Goodman | Episode 13
COVID-19, Masks, and Designing Observational Studies | Episode 12
Getting Bayesian with Frank Harrell | Episode 11
Coronavirus Conversations 2 | Episode 10
Coronavirus Conversations | Episode 09
Causal inference for data science with Sean Taylor | Episode 08
Asking harder causal questions with Whitney Robinson | Episode 07
Internal and External Validity with Elizabeth Stuart | Episode 06
Science Communication with Gideon Meyerowitz-Katz | Episode 05
Quantitative Bias Analysis with Matt Fox | Episode 04
Fairness in Machine Learning with Sherri Rose | Episode 03
Socializing about Social Epidemiology with Onyebuchi Arah | Episode 02
Talking Target Trials with Miguel Hernan | Episode 01
Keeping it casual: the pilot | Episode 00