Casual Inference (Lucy D'Agostino McGowan and Ellie Murray)
Explorez tous les épisodes de Casual Inference
| Date | Titre | Durée | |
|---|---|---|---|
| 22 Apr 2020 | Getting Bayesian with Frank Harrell | Episode 11 | 00:57:23 | |
Ellie Murray and Lucy D'Agostino McGowan discuss Bayesian statistics, model validation, and more, with special guest Dr. Frank Harrell from the Department of Biostatistics at Vanderbilt University. 🤷♀️What does it mean to be Bayesian? 🤷♀️How can we decide if our models are good? 📈Frank's COVID trial resource hub 📈Betsy Ogburn's COVID trial protocol hub 👨🏫Frank's Free Biostatistics in Biomedical Research Course 🐍Lucy's tweetorial on Type 1 error and including nonlinear terms in models Follow along on Twitter:
🎶 Our intro/outro music is courtesy of Joseph McDade. 👩🎨 Our artwork is by Allison Horst. | |||
| 14 Feb 2022 | The history of John Snow, Cholera, and Cookies with Chris Schaich | Season 3 Episode 8 | 00:48:45 | |
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:
Slide link: https://bit.ly/3DnQai5 🎶 Our intro/outro music is courtesy of Joseph McDade
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| 25 Oct 2021 | Metascience with Noah Haber | Season 3 Episode 4 | 01:08:13 | |
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 📝 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:
🎶 Our intro/outro music is courtesy of Joseph McDade. | |||
| 17 Jul 2023 | Evidence Science with Cat Hicks | Season 4 Episode 11 | 00:49:41 | |
Ellie and Lucy chat with Dr. Cat Hicks, VP of Research Insights and Director of Developer Success Lab at Pluralsight Flow, about evidence science.
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🎶 Our intro/outro music is courtesy of Joseph McDade | |||
| 02 Mar 2021 | Our Michael Jordan Episode | Season 2 Episode 5 | 00:38:51 | |
In this 23rd episode of Casual Inference Ellie Murray and Lucy D'Agostino McGowan chat about fixed vs random effect, complete a statistics challenge, and talk about DAGs. 🐦 Tweet from @jtc475 about fixed vs random effects terminology 🎲 This is Statistics March Randomness Challenge 📝 Lucy, Kyra, and Ellie's paper "Quantifying Uncertainty in Infectious Disease Mechanistic Models" PeDAGogy Here are the two Bridgerton DAGs we discussed. 1. Tweet submitted by @IGMoore:  2. Tweet submitted by @AlenaSorensen  Follow along on Twitter:
🎶 Our intro/outro music is courtesy of Joseph McDade. 👩🎨 Our artwork is by Allison Horst. | |||
| 10 Jul 2024 | Starting the Conversation on Models with Alyssa Bilinski | Season 5 Episode 11 | 00:48:12 | |
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 notes:
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🎶 Our intro/outro music is courtesy of Joseph McDade | |||
| 12 Jun 2024 | What Sports and Feminism can tell us about Causal Inference with Sheree Bekker & Stephen Mumford | Season 5 Episode 9 | 00:49:43 | |
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, Stephen Mumford, Professor of Metaphysics, Durham University A
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🎶 Our intro/outro music is courtesy of Joseph McDade | |||
| 30 Nov 2022 | Methods chat about personalized medicine and positivity in causal inference | Season 4 Episode 4 | 00:51:43 | |
Lucy D'Agostino McGowan and Ellie Murray chat about critiquing methods research, average treatment effects, and positivity violations! Follow along on Twitter:
🎶 Our intro/outro music is courtesy of Joseph McDade | |||
| 24 Jun 2020 | Casual Inference Live from SER | Episode 14 | 00:50:35 | |
Ellie Murray and Lucy D'Agostino McGowan are live for Society for Epidemiologic Research (SER) week! Follow along on Twitter:
🎶 Our intro/outro music is courtesy of Joseph McDade. 👩🎨 Our artwork is by Allison Horst. | |||
| 23 Jan 2020 | Internal and External Validity with Elizabeth Stuart | Episode 06 | 01:38:26 | |
Ellie Murray and Lucy D'Agostino McGowan chat with Elizabeth Stuart from the Departments of Mental Health, Biostatistics, and Health Policy and Management at the Johns Hopkins Bloomberg School of Public Health. Here are some links to the content we talk about in this episode: 📝 Article by Sherri Rose on Liz Stuart (baby pics!) 📰 Local news
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🎶 Our intro/outro music is courtesy of Joseph McDade. | |||
| 22 May 2020 | COVID-19, Masks, and Designing Observational Studies | Episode 12 | 00:35:25 | |
Ellie Murray and Lucy D'Agostino McGowan chat about coronavirus, the evidence we have about masks, and designing observational studies. Follow along on Twitter:
🎶 Our intro/outro music is courtesy of Joseph McDade. 👩🎨 Our artwork is by Allison Horst. | |||
| 08 Feb 2021 | Health Policy with Julia Raifman | Season 2 Episode 4 | 01:05:40 | |
In this episode Ellie Murray and Lucy D’Agostino McGowan chat with Julia Raifman about health policy, a recent study on unemployment insurance and food insecurity, and anti racism in academia. Dr. Raifman is an assistant professor of Health Law, Policy, and Management at Boston University. Her research focuses on how health and social policies drive population health and health disparities. 📝 Geoffrey Rose's paper Sick Individuals and Sick Populations PeDAGogy Come up with a Bridgerton DAG and share it with us on Twitter! Here is one for inspiration.
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🎶 Our intro/outro music is courtesy of Joseph McDade. 👩🎨 Our artwork is by Allison Horst. | |||
| 20 Feb 2020 | Causal inference for data science with Sean Taylor | Episode 08 | 01:29:47 | |
Ellie Murray and Lucy D'Agostino McGowan chat with Sean Taylor from Lyft. Here are some links to the content we talk about in this episode: 📝 Sean’s Science paper 📦 Prophet R package 📝 Book on time-varying exposures 📝 Lyft engineering blog 📝 Hormone replacement therapy overview 📝 Analyzing observational HRT data by emulating a trial 📰 Local news
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🎶 Our intro/outro music is courtesy of Joseph McDade. 👩🎨 Our artwork is by Allison Horst. | |||
| 04 Nov 2022 | Counterfactual Thinking: Biomarkers, Napster, and Ice-T | Season 4 Episode 2 | 00:57:49 | |
Lucy D'Agostino McGowan and Ellie Murray chat about counterfactuals! Follow along on Twitter:
🎶 Our intro/outro music is courtesy of Joseph McDade | |||
| 20 Mar 2024 | Immortal Time Bias | Season 5 Episode 3 | 00:34:37 | |
Lucy and Ellie chat about immortal time bias, discussing a new paper Ellie co-authored on clone-censor-weights.
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🎶 Our intro/outro music is courtesy of Joseph McDade | |||
| 09 Apr 2020 | Coronavirus Conversations 2 | Episode 10 | 00:57:00 | |
Ellie Murray and Lucy D'Agostino McGowan discuss coronavirus a bit more, focusing on mask wearing, data quality, disease modeling, and more! Follow along on Twitter:
🎶 Our intro/outro music is courtesy of Joseph McDade. 👩🎨 Our artwork is by Allison Horst. | |||
| 05 Dec 2021 | Asking questions that matter, getting answers that help | Season 3 Episode 7 | 01:11:47 | |
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:
Slide link: https://bit.ly/3DnQai5 Transcript (auto-generated): https://bit.ly/3y4OskQ 🎶 Our intro/outro music is courtesy of Joseph McDade.
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| 03 Apr 2024 | Analyzing the Analysts: Reproducibility with Nick Huntington-Klein | Season 5 Episode 4 | 00:45:44 | |
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 for implementing causal effect estimation procedures.
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🎶 Our intro/outro music is courtesy of Joseph McDade
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| 19 Dec 2019 | Quantitative Bias Analysis with Matt Fox | Episode 04 | 01:21:20 | |
Ellie Murray and Lucy D'Agostino McGowan chat with Matt Fox from the Departments of Epidemiology and Global Health at Boston University. Here are some links to the content we talk about in this episode: 📄 Paper discussing a null association between smoking during pregnancy and breast cancer risk 📰 Global news
In this week's global news segment we mentioned M-bias. Here is an example DAG of this phenomenon:
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🎶 Our intro/outro music is courtesy of Joseph McDade. | |||
| 11 Oct 2021 | Solving Optimization Problems in Healthcare and Disney Theme Parks with Len Testa | Season 3 Episode 3 | 00:57:57 | |
In this episode Lucy D'Agostino McGowan and Ellie Murray chat with Len Testa, president of TouringPlans, about solving optimization problems in travel and healthcare. 📦 Lucy's R package with touringplans data Len's slide on model choices:
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🎶 Our intro/outro music is courtesy of Joseph McDade. | |||
| 04 Jun 2020 | Community Engagement, Health Disparities, and Measure Development with Melody Goodman | Episode 13 | 01:59:18 | |
Ellie Murray and Lucy D'Agostino McGowan discuss community engagement, health disparities, and measure development with Dr. Melody Goodman from New York University Global School of Public Health. 🐦 Jonathan Jackson's tweet on the importance of measures of dispersion 📄 Goodman's paper Reaching Consensus on Principles of Stakeholder Engagement in Research 📄 Goodman's paper Content validation of a quantitative stakeholder engagement measure 📄 Goodman's paper on Community Research Training Fellows Program Training Community Members in Public Health Research: Development and Implementation of a Community Participatory Research Pilot Project 📄 The Relationship between In-Person Voting, Consolidated Polling Locations, and Absentee Voting on Covid-19: Evidence from the Wisconsin Primary discussed in the peDAGogy segment Harm reduction tips for protests
Harm reduction tips for faith-based communities
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🎶 Our intro/outro music is courtesy of Joseph McDade. 👩🎨 Our artwork is by Allison Horst.
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| 18 Apr 2022 | It Depends with Sander Greenland | Season 3 Episode 12 | 01:27:55 | |
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:
🎶 Our intro/outro music is courtesy of Joseph McDade | |||
| 13 Oct 2022 | Population and Biomedical Data Science with Enrique Schisterman | Season 4 Episode 1 | 00:54:51 | |
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:
🎶 Our intro/outro music is courtesy of Joseph McDade | |||
| 01 Nov 2019 | Keeping it casual: the pilot | Episode 00 | 00:08:20 | |
Ellie Murray and Lucy D'Agostino McGowan try to keep it casual in this quick teaser to introduce you to the types of things the Casual Inference podcast will include. Follow along on Twitter:
Our intro/outro music is courtesy of Joseph McDade. | |||
| 29 Mar 2023 | Prevention Strategies via the #Epicookiechallenge | Season 4 Episode 8 | 00:38:12 | |
Lucy D'Agostino McGowan and Ellie Murray chat with #EpiCookieChallenge winner, Viktoria Gastens! Follow along on Twitter:
🎶 Our intro/outro music is courtesy of Joseph McDade | |||
| 02 Oct 2020 | An Ode to Generalized Linear Models | Episode 16 | 00:45:55 | |
Ellie Murray and Lucy D'Agostino McGowan casually discuss linear versus logistic regression, prediction versus inference, generalized linear models, and more! 📄Robin Gomila's paper: "Logistic or linear? Estimating causal effects on experimental treatments on binary outcomes using regression analysis" 🐦 Robin's twitter thread about the paper Follow along on Twitter:
🎶 Our intro/outro music is courtesy of Joseph McDade. 👩🎨 Our artwork is by Allison Horst. | |||
| 17 Sep 2020 | Methodological Advances in Causal Inference with Betsy Ogburn | Episode 15 | 01:14:53 | |
Ellie Murray and Lucy D'Agostino McGowan discuss methodological advancement in causal inference with Dr. Elizabeth Ogburn from Johns Hopkins Bloomberg School of Public Health. 📄 Wang & Blei's The Blessings of Multiple Causes paper 🦠 COVID-19 Collaboration Platform 📈 COVID-19 Meta-dashboard of dashboards Follow along on Twitter:
🎶 Our intro/outro music is courtesy of Joseph McDade. 👩🎨 Our artwork is by Allison Horst. | |||
| 05 Dec 2019 | Fairness in Machine Learning with Sherri Rose | Episode 03 | 01:08:37 | |
Ellie Murray and Lucy D'Agostino McGowan chat with Sherri Rose from the Department of Health Care Policy at Harvard Medical School. Here are some links to the content we talk about in this episode: 📄 Paper by Anna Zink and Sherri Rose: Fair Regression for Health Care Spending PeDAGogy segment: In this weeks segment, Ellie describes a collider!
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🎶 Our intro/outro music is courtesy of Joseph McDade. | |||
| 24 Apr 2023 | M-Bias: Much Ado About Nothing? | Season 4 Episode 10 | 00:38:55 | |
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 Follow along on Twitter:
🎶 Our intro/outro music is courtesy of Joseph McDade | |||
| 21 Jan 2021 | Celebrating 100 years with a look forwards and back with the D'Agostinos | Season 2 Episode 3 | 01:02:56 | |
In this episode 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. We’re excited to kick off the 100th year of the American Journal of Epidemiology with this episode. Ralph D’Agostino Sr. is a professor of Mathematics/Statistics, Biostatistics, and Epidemiology at Boston University. He has been the lead biostatistician for the Framingham Heart Study, a biostatistical consultant to The New England Journal of Medicine, an editor of Statistics in Medicine and lead editor of their Tutorials, and a member and consultant on FDA committees. His major fields of research are clinical trials, prognostic models, longitudinal analysis, multivariate analysis, robustness, and outcomes/effectiveness research. Ralph D’Agostino Jr. is a professor in the Department of Biostatistics and Data Science at Wake Forest University where he is the Director of the Biostatistics Core of the Comprehensive Cancer Center. Methodologically his research includes developing statistical techniques for evaluating data from observational settings, handling missing data in applied problems, and developing predictive functions to identify prospectively patients at elevated risk for future negative outcomes. Some of his recent work includes the development of methods using propensity score models to identify safety signals in large retrospective databases. It also turns out they are Lucy’s father and grandfather, so we have 3 generations of statisticians on the pod! We also have Amit Sasson on to discuss the winning cookie from the #EpiCookieChallenge as well as her work in causal inference!
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🎶 Our intro/outro music is courtesy of Joseph McDade. 👩🎨 Our artwork is by Allison Horst.
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| 15 Dec 2020 | The Most Ambitious Crossover | Season 2 Episode 2 | 00:52:25 | |
In honor of the Society for Epidemiologic Research 2020 Meeting, the hosts of four epidemiology podcasts came together to record the first ever “crossover event” to talk about their experiences recording our shows and what podcasting can bring to the table for the field of epidemiology. Join the hosts of Epidemiology Counts (Bryan James), SERiousEPi (Matt Fox, Hailey Banack), Casual Inference (Lucy D’Agostino McGowan), and Shiny Epi People (Lisa Bodnar) as they engage in a fun and informative (we hope!) conversation of the burgeoning field of epidemiology podcasting, emceed by Geetika Kalloo. | |||
| 19 Mar 2020 | Coronavirus Conversations | Episode 09 | 01:11:02 | |
Ellie Murray and Lucy D'Agostino McGowan discuss coronavirus with an added segment discussing current recommendations for people taking ACE inhibitors or ARBS with Andrew South from Wake Forest School of Medicine. 👏Wash your hands to Splash Mountain Medley:
🌟 Ellie's hand washing song lyrics (to be sung twice) Twinkle twinkle little SARS 🔗 Nephrology Journal Club information about ACEi/ARBS and coronavirus Follow along on Twitter:
🎶 Our intro/outro music is courtesy of Joseph McDade. 👩🎨 Our artwork is by Allison Horst. | |||
| 13 Sep 2021 | Coronavirus Rapid Tests Sensitivity, Specificity, Messaging, and Use Cases | Season 3 Episode 1 | 01:01:50 | |
In this episode Ellie Murray and Lucy D’Agostino McGowan do a series recap and then discuss sensitivity, specificity, and appropriate messaging in the context of coronavirus rapid tests. 📝 NY Times article: One in 5,000 🐦 Kareem Carr's tweet about omitted variable bias in randomized controlled trials 📝 Israeli data: How can efficacy vs. severe disease be strong when 60% of hospitalized are vaccinated? 🦠 A calculator that lets you estimate COVID risk [microcovid] In the (Local) News 📰 Will Podcasting and Social Media Replace Journals and Traditional Science Communication? No, but... Follow along on Twitter:
🎶 Our intro/outro music is courtesy of Joseph McDade. 👩🎨 Our artwork is by Allison Horst. | |||
| 11 Apr 2023 | Thinking about Targeted Learning | Season 4 Episode 9 | 00:46:02 | |
Lucy D'Agostino McGowan and Ellie Murray chat about ENAR 2023 and Targeted Learning! Targeted Learning in R Handbook Follow along on Twitter:
🎶 Our intro/outro music is courtesy of Joseph McDade | |||
| 13 Nov 2020 | Happy Anniversary to Us! | Season 2 Episode 1 | 00:54:49 | |
Ellie Murray and Lucy D'Agostino McGowan chat about ecological studies, the new Pfizer vaccine interim analysis, and more! 📈 Vanderbilt University Department of Health Policy's COVID-19 Deaths in Tennessee and Adoption of Mask Requirements (h/t Peter Rebeiro) 📈 The original masks v no masks graph 🗞 Pfizer's press release about the interim analysis for their vaccine trial 📓 Pfizer's vaccine trial protocol PeDAGogy Here is the DAG from our peDAGogy segment:
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🎶 Our intro/outro music is courtesy of Joseph McDade. 👩🎨 Our artwork is by Allison Horst.
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| 09 Jan 2020 | Science Communication with Gideon Meyerowitz-Katz | Episode 05 | 01:23:04 | |
Ellie Murray and Lucy D'Agostino McGowan chat with Gideon Meyerowitz-Katz, an epidemiologist studying at the University of Wollongong and a science communication writer for the Guardian, Observer, and more! Here are some links to the content we talk about in this episode: 📝 Gideon's post on relative versus absolute risk 🐦 Gideon's twitter account @justsaysrisks 🎙Gideon's Sensationalist Science Podcast 📧 Email Gideon for advice on getting started in Sci Comm: gidmk.healthnerd@gmail.com 👩🏫 PeDAGogy
📰 Global news
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🎶 Our intro/outro music is courtesy of Joseph McDade. | |||
| 28 Feb 2025 | Data Integration for Impact with Len Testa | Season 6 Episode 1 | 00:44:48 | |
Lucy chats with Len Testa about a recent analysis he did which combined over 150 publicly available data sources to answer a question about the affordability of Disney World.
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🎶 Our intro/outro music is courtesy of Joseph McDade | |||
| 16 Nov 2022 | Hot takes and logistic regression love with Travis Gerke | Season 4 Episode 3 | 00:54:20 | |
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:
🎶 Our intro/outro music is courtesy of Joseph McDade | |||
| 30 Oct 2020 | Why Everyone is Excited About Causal Inference These Days with Roger Peng | Episode 18 | 00:59:27 | |
Ellie Murray and Lucy D'Agostino McGowan chat about communicating uncertainty, how air pollution policy is determined, and whether causal inference is a fad with Dr. Roger Peng from Johns Hopkins Bloomberg School of Public Health. Follow along on Twitter:
🎶 Our intro/outro music is courtesy of Joseph McDade. 👩🎨 Our artwork is by Allison Horst.
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| 21 Feb 2024 | Pros and Cons of Randomized Controlled Trials | Season 5 Episode 1 | 00:17:55 | |
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:
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🎶 Our intro/outro music is courtesy of Joseph McDade | |||
| 08 Nov 2021 | Hanging out in the data science trough of disillusionment with Hilary Parker | Season 3 Episode 5 | 01:09:42 | |
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:
🎶 Our intro/outro music is courtesy of Joseph McDade. | |||
| 17 Apr 2024 | Cookies, Causal Inference, and Careers with Ingrid Giesinger #Epicookiechallenge | Season 5 Episode 5 | 00:46:49 | |
Ingrid is a doctoral student in Epidemiology at the Dalla Lana School of Public Health at the University of Toronto. Follow along on Twitter:
🎶 Our intro/outro music is courtesy of Joseph McDade | |||
| 08 Nov 2019 | Talking Target Trials with Miguel Hernan | Episode 01 | 00:53:24 | |
Ellie Murray and Lucy D'Agostino McGowan try to keep it casual in the first episode of the new Casual Inference podcast. Episode 1 features special guest Miguel Hernan from Harvard TH Chan School of Public Health. Listen to learn how to improve your observational data analysis! Follow along on Twitter:
Our intro/outro music is courtesy of Joseph McDade. Here are some links to the content we talk about in this episode! Causal Inference, What If: https://www.hsph.harvard.edu/miguel-hernan/causal-inference-book/ AJE article on applying the target trial method: https://academic.oup.com/aje/article/188/8/1569/5486454 AJE tweetorial on that article: https://twitter.com/AmJEpi/status/1171866941906026496 News report on the Economics Nobel Prize: https://www.sciencemag.org/news/2019/10/economics-nobel-honors-trio-taking-experimental-approach-fighting-poverty | |||
| 27 Mar 2025 | Causal Assumptions and Large Language Models | Season 6 Episode 2 | 00:51:51 | |
Lucy and Ellie chat about large language models, chat interfaces, and causal inference.
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🎶 Our intro/outro music is courtesy of Joseph McDade. Edited by Cameron Bopp. | |||
| 27 Sep 2021 | Causal Inference and Network Science for Public Health with Ashley Buchanan | Season 3 Episode 2 | 00:59:48 | |
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 Rhode Island. Follow along on Twitter:
🎶 Our intro/outro music is courtesy of Joseph McDade. | |||
| 14 Mar 2022 | The Intersection of Machine Learning and Causal Inference with Maggie Makar | Season 3 Episode 10 | 00:53:52 | |
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:
Slide link: https://bit.ly/3DnQai5 🎶 Our intro/outro music is courtesy of Joseph McDade | |||
| 22 Nov 2019 | Socializing about Social Epidemiology with Onyebuchi Arah | Episode 02 | 00:57:57 | |
Ellie Murray and Lucy D'Agostino McGowan chat with Onyebuchi Arah from the Department of Epidemiology and UCLA Fielding School of Public Health about Social Epidemiology. Here are some links to the content we talk about in this episode: 📄 Study in Science Advances demonstrating the funding gap in research on the community level 📄 Matt Fox’s E-value study published in the American Journal of Epidemiology 👏 What Lucy is enjoying this week: Normcore tech newsletter 📰 Our local news: American Journal of Epidemiology article on obesity & neighborhoods Here is the DAG discussed in the peDAGogy segment:
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🎶 Our intro/outro music is courtesy of Joseph McDade. | |||
| 02 Oct 2023 | Remembering Ralph B. D'Agostino, Sr. | 00:49:37 | |
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 Sr. was a professor of Mathematics/Statistics, Biostatistics, and Epidemiology at Boston University. He was the lead biostatistician for the Framingham Heart Study, a biostatistical consultant to The New England Journal of Medicine, an editor of Statistics in Medicine and lead editor of their Tutorials, and a member and consultant on FDA committees. His major fields of research were clinical trials, prognostic models, longitudinal analysis, multivariate analysis, robustness, and outcomes/effectiveness research. Ralph D’Agostino Jr. is a professor in the Department of Biostatistics and Data Science at Wake Forest University where he is the Director of the Biostatistics Core of the Comprehensive Cancer Center. Methodologically his research includes developing statistical techniques for evaluating data from observational settings, handling missing data in applied problems, and developing predictive functions to identify prospectively patients at elevated risk for future negative outcomes. Some of his recent work includes the development of methods using propensity score models to identify safety signals in large retrospective databases. | |||
| 03 May 2022 | What is the value of a p-value with Charlie Poole and Chuck Scales | Season 3 Episode 13 | 01:16:11 | |
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 📃 The ASA Statement on p-values 📃 The American Statistician issue on p-values following the SSI conference Follow along on Twitter:
🎶 Our intro/outro music is courtesy of Joseph McDade | |||
| 10 Apr 2025 | Propensity Scores, R Packages, and Practical Advice with Noah Greifer | Season 6 Episode 3 | 01:22:09 | |
Noah Greifer is a statistical consultant and programmer at Harvard University. Episode notes:
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🎶 Our intro/outro music is courtesy of Joseph McDade. Edited by Cameron Bopp.
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| 26 Jun 2024 | Flexible methods with Edward Kennedy | Season 5 Episode 10 | 00:38:57 | |
Edward Kennedy Associate Professor, Department of Statistics & Data Science, Carnegie Mellon.
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🎶 Our intro/outro music is courtesy of Joseph McDade | |||
| 01 May 2024 | Fun and Game(s) Theory with Aaditya Ramdas | Season 5 Episode 6 | 00:48:23 | |
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, calibration). His applied areas of interest include neuroscience, genetics and auditing (real-estate, finance, elections). Aaditya received the IMS Peter Gavin Hall Early Career Prize, the COPSS Emerging Leader Award, the Bernoulli New Researcher Award, the NSF CAREER Award, the Sloan fellowship in Mathematics, and faculty research awards from Adobe and Google. He also spends 20% of his time at Amazon working on causality and sequential experimentation.
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🎶 Our intro/outro music is courtesy of Joseph McDade | |||
| 28 Feb 2022 | Artificial Intelligence, Personalized Medicine, and Causal Bounds with Judea Pearl | Season 3 Episode 9 | 00:55:04 | |
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. Follow along on Twitter:
Slide link: https://bit.ly/3DnQai5 🎶 Our intro/outro music is courtesy of Joseph McDade
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| 29 May 2024 | Observational Causal Analyses with Erick Scott | Season 5 Episode 8 | 00:51:43 | |
Erick Scott is founder of cStructure, a causal science startup. Erick has expertise in medicine, public health, and computational biology.
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🎶 Our intro/outro music is courtesy of Joseph McDade | |||
| 05 Apr 2022 | The Intersection of Industrial Engineering and Causal Inference with Toyya Pujol | Season 3 Episode 11 | 01:04:35 | |
In this episode Lucy D'Agostino McGowan and Ellie Murray chat with Toyya Pujol, Operations Researcher at RAND Corporation. Follow along on Twitter:
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| 06 Mar 2024 | Targeted Learning with Mar van der Laan | Season 5 Episode 2 | 00:51:21 | |
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-sectional studies.
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🎶 Our intro/outro music is courtesy of Joseph McDade | |||
| 06 Feb 2020 | Asking harder causal questions with Whitney Robinson | Episode 07 | 01:19:47 | |
Ellie Murray and Lucy D'Agostino McGowan chat with Whitney Robinson from the Departments of Epidemiology at University of North Carolina Gillings School of Global Public Health Here are some links to the content we talk about in this episode: 📝 Jeffrey Rose article (reprint) 📝 Chandra Ford’s public health praxis paper 📝 Whitney’s paper with Tyler VanderWeele on race as a cause 📝 Miguel Hernan’s paper on well-defined interventions: Does water kill? 📝 NIH funding paper 📻 Acadames podcast 📝 Miguel Hernan’s AJE paper on selection bias without colliders 📰 Local news
PeDAGogy:
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🎶 Our intro/outro music is courtesy of Joseph McDade. 👩🎨 Our artwork is by Allison Horst. | |||
| 16 May 2024 | Friends Let Friends Do Mediation Analysis with Nima Hejazi | Season 5 Episode 7 | 00:59:07 | |
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.
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🎶 Our intro/outro music is courtesy of Joseph McDade | |||
| 16 Oct 2020 | Thinking About Schools Reopening From a Causal Perspective with Emily Oster | Episode 17 | 01:14:51 | |
Ellie Murray and Lucy D'Agostino McGowan talk about the causal questions linked to schools opening during the COVID-19 pandemic. Then they have Dr. Emily Oster, professor of economics at Brown University, on to discuss her thoughts on and contributions to this area. 📄 Emily's Atlantic Piece Schools aren't super-spreader events 📊 COVID-19 School Response Dashboard Follow along on Twitter:
🎶 Our intro/outro music is courtesy of Joseph McDade. 👩🎨 Our artwork is by Allison Horst. | |||
| 10 Dec 2022 | The Value of Instrumental Variables with Maria Glymour | Season 4 Episode 5 | 01:00:22 | |
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 and conditional effects for GLMMs Follow along on Twitter:
🎶 Our intro/outro music is courtesy of Joseph McDade | |||
| 28 Feb 2023 | Randomized Controlled Trials: Efficacy versus Effectiveness, Safety vs Safetiness | Season 4 Episode 6 | 01:07:25 | |
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:
🎶 Our intro/outro music is courtesy of Joseph McDade | |||
| 22 Nov 2021 | A Casual Look at Causal Inference History | Season 3 Episode 6 | 01:12:06 | |
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:
🎶 Our intro/outro music is courtesy of Joseph McDade. | |||
| 14 Mar 2023 | Sensitivity Analyses for Unmeasured Confounders | Season 4 Episode 7 | 00:38:46 | |
Lucy D'Agostino McGowan and Ellie Murray chat about confounding! ✍️ Lucy's new paper: Sensitivity Analyses for Unmeasured Confounders Follow along on Twitter:
🎶 Our intro/outro music is courtesy of Joseph McDade | |||
