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Casual Inference

47 Episodes

39 minutes | Apr 24, 2023
M-Bias: Much Ado About Nothing? | Season 4 Episode 10
Lucy D'Agostino McGowan and Ellie Murray chat about a "Causal Quartet" and spend some extra time on M-Bias!   Lucy, Travis, & Malcom's Causal Quartet Paper Lucy's quartets R package Follow along on Twitter: The American Journal of Epidemiology: @AmJEpi Ellie: @EpiEllie Lucy: @LucyStats 🎶 Our intro/outro music is courtesy of Joseph McDade Edited by Quinn Rose: aspiringrobot.com
46 minutes | Apr 11, 2023
Thinking about Targeted Learning | Season 4 Episode 9
Lucy D'Agostino McGowan and Ellie Murray chat about ENAR 2023 and Targeted Learning! Targeted Learning in R Handbook Follow along on Twitter: The American Journal of Epidemiology: @AmJEpi Ellie: @EpiEllie Lucy: @LucyStats 🎶 Our intro/outro music is courtesy of Joseph McDade Edited by Quinn Rose: aspiringrobot.com
38 minutes | Mar 29, 2023
Prevention Strategies via the #Epicookiechallenge | Season 4 Episode 8
Lucy D'Agostino McGowan and Ellie Murray chat with #EpiCookieChallenge winner, Viktoria Gastens! Follow along on Twitter: The American Journal of Epidemiology: @AmJEpi Viktoria: @VikiGastens Viktoria's Lab: @PopHealthLabCH Ellie: @EpiEllie Lucy: @LucyStats 🎶 Our intro/outro music is courtesy of Joseph McDade Edited by Quinn Rose: aspiringrobot.com
39 minutes | Mar 14, 2023
Sensitivity Analyses for Unmeasured Confounders | Season 4 Episode 7
Lucy D'Agostino McGowan and Ellie Murray chat about confounding! ✍️ Lucy's new paper: Sensitivity Analyses for Unmeasured Confounders Follow along on Twitter: The American Journal of Epidemiology: @AmJEpi Ellie: @EpiEllie Lucy: @LucyStats 🎶 Our intro/outro music is courtesy of Joseph McDade Edited by Quinn Rose: aspiringrobot.com
67 minutes | Feb 28, 2023
Randomized Controlled Trials: Efficacy versus Effectiveness, Safety vs Safetiness | Season 4 Episode 6
Lucy D'Agostino McGowan and Ellie Murray chat about randomized controlled trials, thinking about efficacy vs effectiveness and saftey vs safetiness. ✍️ Frank Harrell's blog post "Randomized Clinical Trials Do Not Mimic Clinical Practice, Thank Goodness" Follow along on Twitter: The American Journal of Epidemiology: @AmJEpi Ellie: @EpiEllie Lucy: @LucyStats 🎶 Our intro/outro music is courtesy of Joseph McDade Edited by Quinn Rose: aspiringrobot.com
60 minutes | Dec 10, 2022
The Value of Instrumental Variables with Maria Glymour | Season 4 Episode 5
Lucy D'Agostino McGowan and Ellie Murray chat with Maria Glymour, Professor of Epidemiology & Biostatstics at UCSF and incoming chair of the Department of Epidemiology at Boston University. Maria successfully convinces Ellie and Lucy that instrumental variables can be very useful in epidemiology.  Follow up: ✍️ Andrew Heiss's blog post on marginal and conditional effects for GLMMs Follow along on Twitter: Maria Glymour: @MariaGlymour The American Journal of Epidemiology: @AmJEpi Ellie: @EpiEllie Lucy: @LucyStats 🎶 Our intro/outro music is courtesy of Joseph McDade Edited by Quinn Rose: aspiringrobot.com
52 minutes | Nov 30, 2022
Methods chat about personalized medicine and positivity in causal inference | Season 4 Episode 4
Lucy D'Agostino McGowan and Ellie Murray chat about critiquing methods research, average treatment effects, and positivity violations! Follow along on Twitter: The American Journal of Epidemiology: @AmJEpi Ellie: @EpiEllie Lucy: @LucyStats 🎶 Our intro/outro music is courtesy of Joseph McDade
54 minutes | Nov 16, 2022
Hot takes and logistic regression love with Travis Gerke | Season 4 Episode 3
Lucy D'Agostino McGowan and Ellie Murray chat with Travis Gerke, Director of Data Science at The Prostate Cancer Clinical Trials Consortium (PCCTC). This episode has lots of hot takes and lots of love for logistic regression! Follow along on Twitter: Travis Gerke: @travisgerke The American Journal of Epidemiology: @AmJEpi Ellie: @EpiEllie Lucy: @LucyStats 🎶 Our intro/outro music is courtesy of Joseph McDade Edited by Quinn Rose: aspiringrobot.com
58 minutes | Nov 4, 2022
Counterfactual Thinking: Biomarkers, Napster, and Ice-T | Season 4 Episode 2
Lucy D'Agostino McGowan and Ellie Murray chat about counterfactuals! Follow along on Twitter: The American Journal of Epidemiology: @AmJEpi Ellie: @EpiEllie Lucy: @LucyStats 🎶 Our intro/outro music is courtesy of Joseph McDade Edited by Quinn Rose: aspiringrobot.com
55 minutes | Oct 13, 2022
Population and Biomedical Data Science with Enrique Schisterman | Season 4 Episode 1
In this episode Ellie Murray and Lucy D'Agostino McGowan chat with Enrique Schisterman, Perelman Professor and Chair of the Department of Biostatistics, Epidemiology, and Informatics at the University of Pennsylvania, about the future of epidemiology. Follow along on Twitter: Enrique: @eschisterman1 The American Journal of Epidemiology: @AmJEpi Ellie: @EpiEllie Lucy: @LucyStats 🎶 Our intro/outro music is courtesy of Joseph McDade
76 minutes | May 3, 2022
What is the value of a p-value with Charlie Poole and Chuck Scales | Season 3 Episode 13
In this episode we play the audio from a recent panel discussion co-sponsored by UNC TraCS, Duke University and Wake Forest U CTSA Biostatistics, Epidemiology and Research Design (BERD) Cores. The panelists were Charles Poole (Associate Professor of Epidemiology, UNC) Lucy D'Agostino McGowan, and Charles Scales (Associate Professor of Surgery, Duke University) and it was facilitated by Marcella Boynton (Assistant Professor, General Internal Medicine, UNC/NC TraCS). 🎥 The video of the panel can be found here 🎞 Lucy's slides 📃 The ASA Statement on p-values 📃 The American Statistician issue on p-values following the SSI conference Follow along on Twitter: The American Journal of Epidemiology: @AmJEpi Ellie: @EpiEllie Lucy: @LucyStats 🎶 Our intro/outro music is courtesy of Joseph McDade
88 minutes | Apr 18, 2022
It Depends with Sander Greenland | Season 3 Episode 12
In this episode Lucy D'Agostino McGowan and Ellie Murray chat with Sander Greenland, Emeritus Professor of Epidemiology and Statistics at UCLA. Follow along on Twitter: The American Journal of Epidemiology: @AmJEpi Ellie: @EpiEllie Lucy: @LucyStats 🎶 Our intro/outro music is courtesy of Joseph McDade Edited by Quinn Rose: aspiringrobot.com
65 minutes | Apr 5, 2022
The Intersection of Industrial Engineering and Causal Inference with Toyya Pujol | Season 3 Episode 11
In this episode Lucy D'Agostino McGowan and Ellie Murray chat with Toyya Pujol, Operations Researcher at RAND Corporation. Follow along on Twitter: Toyya: @toyyapujol The American Journal of Epidemiology: @AmJEpi Ellie: @EpiEllie Lucy: @LucyStats  
54 minutes | Mar 14, 2022
The Intersection of Machine Learning and Causal Inference with Maggie Makar | Season 3 Episode 10
In this episode Lucy D'Agostino McGowan and Ellie Murray chat with Maggie Makar, Presidential postdoctoral fellow and assistant professor in Computer Science and Engineering at the University of Michigan. Follow along on Twitter: Maggie: @Maggiemakar The American Journal of Epidemiology: @AmJEpi Ellie: @EpiEllie Lucy: @LucyStats Slide link: https://bit.ly/3DnQai5 🎶 Our intro/outro music is courtesy of Joseph McDade Edited by Quinn Rose: aspiringrobot.com
55 minutes | Feb 28, 2022
Artificial Intelligence, Personalized Medicine, and Causal Bounds with Judea Pearl | Season 3 Episode 9
In this episode Lucy D'Agostino McGowan and Ellie Murray chat with Judea Pearl, Chancellor professor of computer science and statistics at the University of California, Los Angeles. 📄 Judea's recent papers 📖 Book of Why Follow along on Twitter: Judea: @yudapearl The American Journal of Epidemiology: @AmJEpi Ellie: @EpiEllie Lucy: @LucyStats Slide link: https://bit.ly/3DnQai5 🎶 Our intro/outro music is courtesy of Joseph McDade  
49 minutes | Feb 14, 2022
The history of John Snow, Cholera, and Cookies with Chris Schaich | Season 3 Episode 8
In this episode Lucy D'Agostino McGowan and Ellie Murray chat with #EpiCookieChallenge winner, Chris Schaich about the epidemiologist John Snow. Dr. Schaich is an assistant professor at Wake Forest School of Medicine in the Hypertension and Vascular Research Center. Follow along on Twitter: Chris: @Chris_Schaich The American Journal of Epidemiology: @AmJEpi Ellie: @EpiEllie Lucy: @LucyStats Slide link: https://bit.ly/3DnQai5 🎶 Our intro/outro music is courtesy of Joseph McDade  
72 minutes | Dec 5, 2021
Asking questions that matter, getting answers that help | Season 3 Episode 7
  In this episode Lucy D'Agostino McGowan and Ellie Murray chat about their Spotify Wrapped for Casual Inference, and Ellie Murray talks about causal inference for complex data with the University of Minnesota’s epidemiology department. Follow along on Twitter: The American Journal of Epidemiology: @AmJEpi Ellie: @EpiEllie Lucy: @LucyStats Slide link: https://bit.ly/3DnQai5 Transcript (auto-generated): https://bit.ly/3y4OskQ 🎶 Our intro/outro music is courtesy of Joseph McDade.  
72 minutes | Nov 22, 2021
A Casual Look at Causal Inference History | Season 3 Episode 6
In this episode Lucy D'Agostino McGowan and Ellie Murray chat about the history of causal inference, tracing the origins across disciplines from statistics to economics, epidemiology, and computer science, discussing contributions from Rubin, Robins, Pearl, and more! Follow along on Twitter: The American Journal of Epidemiology: @AmJEpi Ellie: @EpiEllie Lucy: @LucyStats 🎶 Our intro/outro music is courtesy of Joseph McDade.
70 minutes | Nov 8, 2021
Hanging out in the data science trough of disillusionment with Hilary Parker | Season 3 Episode 5
In this episode Lucy D'Agostino McGowan and Ellie Murray chat with Hilary Parker about design thinking for data analysis, the Dunning-Kruger effect, and the potential data behind baby Yoda. Follow along on Twitter: Hilary: @hspter The American Journal of Epidemiology: @AmJEpi Ellie: @EpiEllie Lucy: @LucyStats 🎶 Our intro/outro music is courtesy of Joseph McDade.
68 minutes | Oct 25, 2021
Metascience with Noah Haber | Season 3 Episode 4
In this episode Lucy D'Agostino McGowan and Ellie Murray chat with Noah Haber about metascience, causal language in the literature, and more! 🥇 Causal Inference Nobel Prize Press Release 📝 Causal and Associational Linking Language From Observational Research and Health Evaluation Literature in Practice: A systematic language evaluation 📝 What Should Researchers Expect When They Replicate Studies? A Statistical View of Replicability in Psychological Science 📝 Design principles of data analysis 📝 Causal language and strength of inference in academic and media articles shared in social media (CLAIMS): A systematic review 🔗 Reading past headlines [part 1] 🔗 Reading past headlines [part 2] Follow along on Twitter: Noah: @NoahHaber The American Journal of Epidemiology: @AmJEpi Ellie: @EpiEllie Lucy: @LucyStats 🎶 Our intro/outro music is courtesy of Joseph McDade.
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