Sensitivity Analyses for Unmeasured Confounders | Season 4 Episode 7

Friends let friends do mediation analysis with Nima Hejazi | Season 5 Episode 7: 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... by Casual Inference

59 min listen

Fun and Game(s) Theory with Aaditya Ramdas | Season 5 Episode 6: 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... by Casual Inference

48 min listen

Cookies, Causal Inference, and Careers with Ingrid Giesinger #Epicookiechallenge | Season 5 Episode 5: Ingrid is a doctoral student in Epidemiology at the Dalla Lana School of Public Health at the University of Toronto. Follow along on Twitter: The American Journal of Epidemiology: Ellie: Lucy: ? Our intro/outro... by Casual Inference

47 min listen

Analyzing the analysts: reproducibility with Nick Huntington-Klein | Season 5 Episode 4: 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... by Casual Inference

46 min listen

Immortal Time Bias | Season 5 Episode 3: 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: Immortal... by Casual Inference

35 min listen

Targeted Learning with Mar van der Laan | Season 5 Episode 2: 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... by Casual Inference

51 min listen

Pros and Cons of Randomized Controlled Trials | Season 5 Episode 1: 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!)... by Casual Inference

18 min listen

Remembering Ralph B. D'Agostino, Sr. | Season 5 Episode 1: We are re-releasing an episode from 2021 in remembrance of . 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... by Casual Inference

50 min listen

Evidence Science with Cat Hicks | Season 4 Episode 11: Ellie and Lucy chat with Dr. Cat Hicks, VP of Research Insights and at Pluralsight Flow, about evidence science. Follow along on Twitter: Cat: The American Journal of Epidemiology: Ellie: Lucy: ? Our intro/outro... by Casual Inference

50 min listen

M-Bias: Much Ado About Nothing? | Season 4 Episode 10: Lucy D'Agostino McGowan and Ellie Murray chat about M-Bias! Follow along on Twitter: The American Journal of Epidemiology: Ellie: Lucy: ? Our intro/outro music is courtesy of Edited by Quinn Rose: by Casual Inference

39 min listen

Thinking about Targeted Learning | Season 4 Episode 9: Lucy D'Agostino McGowan and Ellie Murray chat about ENAR 2023 and Targeted Learning! Follow along on Twitter: The American Journal of Epidemiology: Ellie: Lucy: ? Our intro/outro music is courtesy of Edited by Quinn... by Casual Inference

46 min listen

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: Viktoria: Viktoria's Lab: Ellie: Lucy: ? Our intro/outro music is... by Casual Inference

38 min listen

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. ✍️ Follow along on Twitter: The American Journal of Epidemiology: Ellie: Lucy: ... by Casual Inference

67 min listen

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... by Casual Inference

60 min listen

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: Ellie: Lucy: ? Our... by Casual Inference

52 min listen

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: ... by Casual Inference

54 min listen

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: Ellie: Lucy: ? Our intro/outro music is courtesy of Edited by Quinn Rose: by Casual Inference

58 min listen

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.... by Casual Inference

55 min listen

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... by Casual Inference

76 min listen

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: Ellie: Lucy: ... by Casual Inference

88 min listen

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: The American Journal of Epidemiology: Ellie: Lucy: by Casual Inference

65 min listen

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 , Presidential postdoctoral fellow and assistant professor in Computer Science and Engineering at the University of Michigan. Follow along on Twitter: Maggie: The American Journal of... by Casual Inference

54 min listen

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 , Chancellor professor of computer science and statistics at the University of California, Los Angeles. ? ? Follow along on Twitter: Judea: The American Journal of... by Casual Inference

55 min listen

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... by Casual Inference

49 min listen

Asking questions that matter, getting answers that help | Season 3 Episode 7: EpiEllie at the University of Minnesota by Casual Inference

72 min listen

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,... by Casual Inference

72 min listen

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: The American Journal of... by Casual Inference

70 min listen

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! ? e What Should Researchers Expect When They Replicate Studies? A Statistical View of Replicability in... by Casual Inference

68 min listen

Solving Optimization Problems in Healthcare and Disney Theme Parks with Len Testa | Season 3 Episode 3: In this episode Lucy D'Agostino McGowan and Ellie Murray chat with Len Testa, president of , about solving optimization problems in travel and healthcare. ? Len's slide on model choices: Follow along on Twitter: Len: The American Journal of... by Casual Inference

58 min listen

Causal Inference and Network Science for Public Health with Ashley Buchanan | Season 3 Episode 2: In this episode Lucy D'Agostino McGowan and Ellie Murray chat with Ashley Buchanan about causal inference with a focus on networks. Dr. Buchanan is an assistant professor of Biostatistics in the Department of Pharmacy Practice at the University of... by Casual Inference

60 min listen

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Sensitivity Analyses for Unmeasured Confounders | Season 4 Episode 7

Sensitivity Analyses for Unmeasured Confounders | Season 4 Episode 7

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