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Optimizing Data Workflows with Emily Riederer
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Combining Data & Making Effects Generalizable with Carly Brantner
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The Art of Clarity with Andrew Heiss
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Study Critique: What Went Wrong and How We'd Do It Differently
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From Model to Meaning with Vincent Arel-Bundock
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Propensity Scores, R Packages, and Practical Advice with Noah Greifer
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Causal Assumptions and Large Language Models
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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
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Flexible methods with Edward Kennedy
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What Sports and Feminism can tell us about Causal Inference with Sheree Bekker & Stephen Mumford
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Observational Causal Analyses with Erick Scott
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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
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Cookies, Causal Inference, and Careers with Ingrid Giesinger #Epicookiechallenge
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Analyzing the Analysts: Reproducibility with Nick Huntington-Klein
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Immortal Time Bias
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Targeted Learning with Mar van der Laan
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Pros and Cons of Randomized Controlled Trials
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Remembering Ralph B. D'Agostino, Sr.
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Evidence Science with Cat Hicks
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M-Bias: Much Ado About Nothing?
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Thinking about Targeted Learning
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Prevention Strategies via the #Epicookiechallenge
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Sensitivity Analyses for Unmeasured Confounders
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Randomized Controlled Trials: Efficacy versus Effectiveness, Safety vs Safetiness
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The Value of Instrumental Variables with Maria Glymour
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Methods chat about personalized medicine and positivity in causal inference
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Hot takes and logistic regression love with Travis Gerke
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Counterfactual Thinking: Biomarkers, Napster, and Ice-T
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Population and Biomedical Data Science with Enrique Schisterman
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What is the value of a p-value with Charlie Poole and Chuck Scales
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It Depends with Sander Greenland
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The Intersection of Industrial Engineering and Causal Inference with Toyya Pujol
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The Intersection of Machine Learning and Causal Inference with Maggie Makar
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Artificial Intelligence, Personalized Medicine, and Causal Bounds with Judea Pearl
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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
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A Casual Look at Causal Inference History
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Hanging out in the data science trough of disillusionment with Hilary Parker
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Metascience with Noah Haber
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Solving Optimization Problems in Healthcare and Disney Theme Parks with Len Testa
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Causal Inference and Network Science for Public Health with Ashley Buchanan
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A Series Recap + Coronavirus Rapid Tests Discussion
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Our Michael Jordan Episode
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Health Policy with Julia Raifman
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Celebrating 100 years with a look forwards and back with the D'Agostinos
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The Most Ambitious Crossover
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Happy Anniversary to Us!
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Why Everyone is Excited About Causal Inference These Days with Roger Peng
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Thinking About Schools Reopening From a Causal Perspective with Emily Oster
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An Ode to Generalized Linear Models
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Methodological Advances in Causal Inference with Betsy Ogburn
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Casual Inference Live from SER
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Community Engagement, Health Disparities, and Measure Development with Melody Goodman
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COVID-19, Masks, and Designing Observational Studies
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Getting Bayesian with Frank Harrell
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Coronavirus Conversations 2 | Episode 10
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Coronavirus Conversations
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Causal inference for data science with Sean Taylor
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Asking harder causal questions with Whitney Robinson
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Internal and External Validity with Elizabeth Stuart
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Science Communication with Gideon Meyerowitz-Katz
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Quantitative Bias Analysis with Matt Fox
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Fairness in Machine Learning with Sherri Rose
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Socializing about Social Epidemiology with Onyebuchi Arah
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Talking Target Trials with Miguel Hernan
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Keeping it casual: the pilot
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