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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.
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In a world in which everyone is talking about AI, a real track record is hard-earned. Inference by Silo AI dives deep into data-driven organizations and their product development to understand what it means to work with AI.
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Starting the Conversation on Models with Alyssa Bilinski | Season 5 Episode 11
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48:12
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48:12
Alyssa Bilinski, Peterson Family Assistant Professor of Health Policy, and Assistant Professor of Biostatistics, at Brown University School of Public Health. Her research focuses on developing novel methods for policy evaluation and applying these to identify interventions that most efficiently improve population health and well-being. Episode note…
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Flexible methods with Edward Kennedy | Season 5 Episode 10
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38:57
Edward Kennedy Associate Professor, Department of Statistics & Data Science, Carnegie Mellon. ehkennedy.com Evaluating a Targeted Minimum Loss-Based Estimator for Capture-Recapture Analysis: An Application to HIV Surveillance in San Francisco, California: https://academic.oup.com/aje/article/193/4/673/7425624 Doubly Robust Capture-Recapture Methods…
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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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49:43
Sheree Bekker & Stephen Mumford are Co-directors of the Feminist Sport Lab and have a book coming soon: “Open Play: the case for feminist sport”, coming Spring 2025. Reaktion Books (UK), University of Chicago Press (US). Sheree Bekker: Associate Professor, University of Bath, Department for Health, Centre for Qualitative Research Centre for Health …
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Scaling AI with Silo AI CTO Niko Vuokko & COO Jaakko Vainio
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1:01:02
In the latest episode of Inference – an AI Business Podcast by Silo AI, our CTO Niko Vuokko and COO Jaakko Vainio sit down to discuss how companies can build real value and a competitive edge by scaling AI initiatives that redefine companies. Tune in to hear our COO's and CTO's outlooks on the main challenges companies face when trying to transitio…
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Observational Causal Analyses with Erick Scott | Season 5 Episode 8
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Erick Scott is founder of cStructure, a causal science startup. Erick has expertise in medicine, public health, and computational biology. info@cStructure.io “A causal roadmap for generating high-quality real-world evidence” https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10603361/ Follow along on Twitter: The American Journal of Epidemiology: @AmJEpi…
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Friends Let Friends Do Mediation Analysis with Nima Hejazi | Season 5 Episode 7
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59:07
Nima Hejazi is an assistant professor in biostatistics at Harvard University. His methodological work often draws upon tools and ideas from semi- and non-parametric inference, high-dimensional and large-scale inference, targeted or debiased machine learning (e.g., targeted minimum loss estimation, method of sieves), and computational statistics. Su…
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Fun and Game(s) Theory with Aaditya Ramdas | Season 5 Episode 6
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48:23
Aaditya Ramdas is an assistant professor at Carnegie Mellon University, in the Departments of Statistics and Machine Learning. His research interests include game-theoretic statistics and sequential anytime-valid inference, multiple testing and post-selection inference, and uncertainty quantification for machine learning (conformal prediction, cali…
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Cookies, Causal Inference, and Careers with Ingrid Giesinger #Epicookiechallenge | Season 5 Episode 5
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Ingrid is a doctoral student in Epidemiology at the Dalla Lana School of Public Health at the University of Toronto. Winning cookie recipe Follow along on Twitter: The American Journal of Epidemiology: @AmJEpi Ellie: @EpiEllie Lucy: @LucyStats 🎶 Our intro/outro music is courtesy of Joseph McDadeEdited by Cameron Bopp…
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Analyzing the Analysts: Reproducibility with Nick Huntington-Klein | Season 5 Episode 4
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45:44
Nick Huntington-Klein is an Assistant Professor, Department of Economics, Albers School of Business and Economics, Seattle University. His research focus is econometrics, causal inference, and higher education policy. He’s also the author of an introductory causal inference textbook called The Effect and the creator of a number of Stata packages fo…
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Immortal Time Bias | Season 5 Episode 3
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34:37
Lucy and Ellie chat about immortal time bias, discussing a new paper Ellie co-authored on clone-censor-weights. The Clone-Censor-Weight Method in Pharmacoepidemiologic Research: Foundations and Methodological Implementation: https://link.springer.com/article/10.1007/s40471-024-00346-2 Immortal time in pregnancy: https://pubmed.ncbi.nlm.nih.gov/3680…
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Targeted Learning with Mar van der Laan | Season 5 Episode 2
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51:21
Mark van der Laan is a professor of statistics at the University of California, Berkeley. His research focuses on developing statistical methods to estimate causal and non-causal parameters of interest, based on potentially complex and high dimensional data from randomized clinical trials or observational longitudinal studies, or from cross-section…
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Pros and Cons of Randomized Controlled Trials | Season 5 Episode 1
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17:55
Ellie and Lucy kick off the season and introduce our new executive buzzer, Melita! Melita is a masters student in statistics at Wake Forest University and will be helping out with the podcast (and keeping Lucy and Ellie from using too much jargon!) Pros & Cons of RCT paper: Fernainy, P., Cohen, A.A., Murray, E. et al. Rethinking the pros and cons o…
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Remembering Ralph B. D'Agostino, Sr.
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49:37
We are re-releasing an episode from 2021 in remembrance of Ralph D'Agostino, Sr. Ellie Murray and Lucy D’Agostino McGowan chat with Ralph D’Agostino Sr. and Ralph D’Agostino Jr. about their careers in statistics, looking back at how things have developed and forward at where they see the world of statistics and epidemiology going. Ralph D’Agostino …
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Evidence Science with Cat Hicks | Season 4 Episode 11
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49:41
Ellie and Lucy chat with Dr. Cat Hicks, VP of Research Insights and Director of Developer Success Lab at Pluralsight Flow, about evidence science. Follow along on Twitter: Cat: @grimalkina The American Journal of Epidemiology: @AmJEpi Ellie: @EpiEllie Lucy: @LucyStats 🎶 Our intro/outro music is courtesy of Joseph McDade Edited by Quinn Rose: aspiri…
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M-Bias: Much Ado About Nothing? | Season 4 Episode 10
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38:55
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 Qu…
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Thinking about Targeted Learning | Season 4 Episode 9
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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…
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Prevention Strategies via the #Epicookiechallenge | Season 4 Episode 8
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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…
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Sensitivity Analyses for Unmeasured Confounders | Season 4 Episode 7
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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…
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Randomized Controlled Trials: Efficacy versus Effectiveness, Safety vs Safetiness | Season 4 Episode 6
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1:07:25
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: @L…
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S2 E9: Niko Vuokko, CTO of Silo AI: AI in 2023 and beyond
1:04:25
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1:04:25
S2 E9: Niko Vuokko, CTO of Silo AI, talks about the current and upcoming trends in AI. Niko Vuokko is the CTO of Silo AI, leading Silo AI’s technology strategy and IP. Niko is an experienced technology leader of multiple successful enterprises, such as Eniram, Sharper Shape and Metrify, as well as an International Mathematical Olympiad competitor a…
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The Value of Instrumental Variables with Maria Glymour | Season 4 Episode 5
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1:00:22
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 a…
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S2 E08: Sabrina Maniscalco, Algorithmiq: Quantum computing and AI
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23:41
Sabrina Maniscalco, a Professor and the CEO of Algorithmiq, talks about the quantum computing and AI. S2 E8: Sabrina Maniscalco is a quantum information and logic professor at the University of Helsinki. She is also the co-founder and CEO of Algorithmiq - a pioneering startup developing real world impact challenges through quantum computing algorit…
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Methods chat about personalized medicine and positivity in causal inference | Season 4 Episode 4
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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 McDadeโดย Lucy D'Agostino McGowan and Ellie Murray
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Hot takes and logistic regression love with Travis Gerke | Season 4 Episode 3
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54:20
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: @Lu…
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Counterfactual Thinking: Biomarkers, Napster, and Ice-T | Season 4 Episode 2
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57:49
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.comโดย Lucy D'Agostino McGowan and Ellie Murray
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Population and Biomedical Data Science with Enrique Schisterman | Season 4 Episode 1
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54:51
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 Ell…
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S2 E07: Lina Weichbrodt: AI Post Mortem
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18:23
In this episode, Lina Weichbrodt discusses AI Post Mortems and shares her favorite stories regarding machine learning damage control. Lina Weichbrodt is an experienced ML engineer. Having built her career at Zalando and Deutsche Kreditbank, she has developed a specialty for debugging and understanding performance risks of large-scale, deployed syst…
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