Latest Inference Podcast Episodes
Flexible methods with Edward Kennedy | Season 5 Episode 10
Casual Inference - June 26, 2024 10:00 - 38 minutes ★★★★★ - 99 ratingsEdward Kennedy Associate Professor, Department of Statistics & Data Science, Carnegie Mellon. Episode notes: 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....
What Sports and Feminism can tell us about Causal Inference with Sheree Bekker & Stephen Mumford | Season 5 Episode 9
Casual Inference - June 12, 2024 10:00 - 49 minutes ★★★★★ - 99 ratingsSheree 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 H...
Observational Causal Analyses with Erick Scott | Season 5 Episode 8
Casual Inference - May 29, 2024 10:00 - 51 minutes ★★★★★ - 99 ratingsErick Scott is founder of cStructure, a causal science startup. Erick has expertise in medicine, public health, and computational biology. [email protected] “A causal roadmap for generating high-quality real-world evidence” https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10603361/ Follow along ...
Friends let friends do mediation analysis with Nima Hejazi | Season 5 Episode 7
Casual Inference - May 16, 2024 10:00 - 59 minutes ★★★★★ - 99 ratingsNima 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 estimatio...
Friends Let Friends Do Mediation Analysis with Nima Hejazi | Season 5 Episode 7
Casual Inference - May 16, 2024 10:00 - 59 minutes ★★★★★ - 99 ratingsNima 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 estimatio...
Fun and Game(s) Theory with Aaditya Ramdas | Season 5 Episode 6
Casual Inference - May 01, 2024 10:00 - 48 minutes ★★★★★ - 99 ratingsAaditya 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 quantific...
Cookies, Causal Inference, and Careers with Ingrid Giesinger #Epicookiechallenge | Season 5 Episode 5
Casual Inference - April 17, 2024 10:00 - 46 minutes ★★★★★ - 99 ratingsIngrid 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...
Analyzing the Analysts: Reproducibility with Nick Huntington-Klein | Season 5 Episode 4
Casual Inference - April 03, 2024 10:00 - 45 minutes ★★★★★ - 99 ratingsNick 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 E...
Analyzing the analysts: reproducibility with Nick Huntington-Klein | Season 5 Episode 4
Casual Inference - April 03, 2024 10:00 - 45 minutes ★★★★★ - 99 ratingsNick 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 E...
Immortal Time Bias | Season 5 Episode 3
Casual Inference - March 20, 2024 10:00 - 34 minutes ★★★★★ - 99 ratingsLucy 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 Immort...
Targeted Learning with Mar van der Laan | Season 5 Episode 2
Casual Inference - March 06, 2024 11:30 - 51 minutes ★★★★★ - 99 ratingsMark 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 obs...
Pros and Cons of Randomized Controlled Trials | Season 5 Episode 1
Casual Inference - February 21, 2024 16:01 - 17 minutes ★★★★★ - 99 ratingsEllie 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., Coh...
Remembering Ralph B. D'Agostino, Sr.
Casual Inference - October 02, 2023 23:57 - 49 minutes ★★★★★ - 99 ratingsWe 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 ...
Evidence Science with Cat Hicks | Season 4 Episode 11
Casual Inference - July 17, 2023 23:25 - 49 minutes ★★★★★ - 99 ratingsEllie 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/...
M-Bias: Much Ado About Nothing? | Season 4 Episode 10
Casual Inference - April 24, 2023 10:00 - 38 minutes ★★★★★ - 99 ratingsLucy 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: @LucySta...
Thinking about Targeted Learning | Season 4 Episode 9
Casual Inference - April 11, 2023 00:09 - 46 minutes ★★★★★ - 99 ratingsLucy 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 ...
Prevention Strategies via the #Epicookiechallenge | Season 4 Episode 8
Casual Inference - March 29, 2023 18:05 - 38 minutes ★★★★★ - 99 ratingsLucy 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 ...
Sensitivity Analyses for Unmeasured Confounders | Season 4 Episode 7
Casual Inference - March 14, 2023 14:59 - 38 minutes ★★★★★ - 99 ratingsLucy 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 ...
Randomized Controlled Trials: Efficacy versus Effectiveness, Safety vs Safetiness | Season 4 Episode 6
Casual Inference - February 28, 2023 15:52 - 1 hour ★★★★★ - 99 ratingsLucy 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...
The Value of Instrumental Variables with Maria Glymour | Season 4 Episode 5
Casual Inference - December 10, 2022 14:31 - 1 hour ★★★★★ - 99 ratingsLucy 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...
Methods chat about personalized medicine and positivity in causal inference | Season 4 Episode 4
Casual Inference - November 30, 2022 11:30 - 51 minutes ★★★★★ - 99 ratingsLucy 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 Mc...
Hot takes and logistic regression love with Travis Gerke | Season 4 Episode 3
Casual Inference - November 16, 2022 14:42 - 54 minutes ★★★★★ - 99 ratingsLucy 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 ...
Counterfactual Thinking: Biomarkers, Napster, and Ice-T | Season 4 Episode 2
Casual Inference - November 04, 2022 13:21 - 57 minutes ★★★★★ - 99 ratingsLucy 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
Population and Biomedical Data Science with Enrique Schisterman | Season 4 Episode 1
Casual Inference - October 13, 2022 10:00 - 54 minutes ★★★★★ - 99 ratingsIn 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: @eschis...
What is the value of a p-value with Charlie Poole and Chuck Scales | Season 3 Episode 13
Casual Inference - May 03, 2022 21:52 - 1 hour ★★★★★ - 99 ratingsIn 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, an...
It Depends with Sander Greenland | Season 3 Episode 12
Casual Inference - April 18, 2022 11:00 - 1 hour ★★★★★ - 99 ratingsIn 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 ...
The Intersection of Industrial Engineering and Causal Inference with Toyya Pujol | Season 3 Episode 11
Casual Inference - April 05, 2022 15:24 - 1 hour ★★★★★ - 99 ratingsIn 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
The Intersection of Machine Learning and Causal Inference with Maggie Makar | Season 3 Episode 10
Casual Inference - March 14, 2022 19:04 - 53 minutes ★★★★★ - 99 ratingsIn 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: @A...
Artificial Intelligence, Personalized Medicine, and Causal Bounds with Judea Pearl | Season 3 Episode 9
Casual Inference - February 28, 2022 12:32 - 55 minutes ★★★★★ - 99 ratingsIn 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 ...
The history of John Snow, Cholera, and Cookies with Chris Schaich | Season 3 Episode 8
Casual Inference - February 14, 2022 12:00 - 48 minutes ★★★★★ - 99 ratingsIn 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: C...
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