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