Casual Inference
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.
Episodes
Optimizing Data Workflows with Emily Riederer | Season 6 Episode 8
Emily Riederer is a Data Science Senior Manager at Credit Risk Modeling Capital One. Her website can be found here: https://www.emilyriederer.com/ Follow along on Bluesky: Emily: @emilyriederer.bsky.social Ellie: @epiellie.bsky.social Lucy: @lucystats.bsky.social 🎶 Our intro/outro music is courtesy of Joseph McDade. Edited by Cameron Bopp.
Combining Data & Making Effects Generalizable with Carly Brantner | Season 6 Episode 7
Carly Brantner is an assistant professor of Biostatistics & Bioinformatics at Duke University and Duke Clinical Research Institute. Resources from this episode: multicate: R package for estimating conditional average treatment effects across one or more studies using machine learning methods PCORnet® Front Door: Access point for potential investigators, patient groups, and other stakeholders t
The Art of Clarity with Andrew Heiss | Season 6 Episode 6
Andrew Heiss is an assistant professor in the Department of Public Management and Policy at the Andrew Young School of Policy Studies at Georgia State University. Vincent's "What is your estimand" section in his {marginaleffects} book: https://marginaleffects.com/chapters/challenge.html#sec-goals_estimand Article on defining estimands: https://doi.org/10.1177/00031224211004187 Andrew's margina
Study Critique: What Went Wrong and How We'd Do It Differently | Season 6 Episode 5
In this episode Lucy and Ellie dig into a recently publicized paper, "Vaccination and Neurodevelopmental Disorders: A Study of Nine-Year-Old Children Enrolled in Medicaid", which has gained attention after being promoted by RFK Jr. as evidence that vaccines cause autism. Ellie breaks down her Substack critique of the study. Together, she and Lucy discuss the methodological flaws and what a bett
From Model to Meaning with Vincent Arel-Bundock | Season 6 Episode 4
Vincent Arel-Bundock is a professor at the Université de Montréal, where he studies comparative and international political economy. Vincent's website: https://arelbundock.com/ Vincent's book "Model to Meaning: How to Interpret Statistical Models With marginaleffects for R and Python": https://marginaleffects.com/ Follow along on Bluesky: Vincent: @vincentab.bsky.social Ellie: @epiel
Propensity Scores, R Packages, and Practical Advice with Noah Greifer | Season 6 Episode 3
Noah Greifer is a statistical consultant and programmer at Harvard University. Episode notes: WeightIt package: https://ngreifer.github.io/WeightIt/ MatchIt package: https://kosukeimai.github.io/MatchIt/ Noah's awesome Stack Exchange post: https://stats.stackexchange.com/a/544958 Follow along on Bluesky: Noah: @noahgreifer.bsky.social Ellie: @EpiEllie.bsky.social Lucy: @LucyStats.bsky.s
Causal Assumptions and Large Language Models | Season 6 Episode 2
Lucy and Ellie chat about large language models, chat interfaces, and causal inference. Do LLMs Act as Repositories of Causal Knowledge?: https://arxiv.org/html/2412.10635v1 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 Cameron Bopp.
Data Integration for Impact with Len Testa | Season 6 Episode 1
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. Len's Deep Dive Post on the Touring Plans Blog [Blog Post] Wall Street Journal Artcile, "Even Disney Is Worried About the High Cost of a Disney Vacation" [Article] Follow along on Bluesky: Len: @lentesta.bsky.social Ell
Starting the Conversation on Models with Alyssa Bilinski | Season 5 Episode 11
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: PNAS paper: https://www.pnas.org/doi/full/10.
Flexible methods with Edward Kennedy | Season 5 Episode 10
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 for Estimating Population Size: https://ww
What Sports and Feminism can tell us about Causal Inference with Sheree Bekker & Stephen Mumford | Season 5 Episode 9
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 and Injury and Illness Prevention in Sport
Observational Causal Analyses with Erick Scott | Season 5 Episode 8
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 Ellie: @EpiEllie Lucy: @LucyStats 🎶
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 learning (e.g., targeted minimum loss estimation, method of sieves), and computational statistics. Surprised by the Hot Hand Fallacy? A Truth in the
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 post-selection inference, and uncertainty quantification for machine learning (conformal prediction, calibration). His applied areas of interest include ne
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. 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
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 introductory causal inference textbook called The Effect and the creator of a number of Stata packages for implementing causal effect estimation procedures
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: https://link.springer.com/article/10.1007/s40471-024-00346-2 Immortal time in pregnancy: https://pubmed.ncbi.nlm.nih.gov/36805380/ Follow along on Twitter: The Amer
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 dimensional data from randomized clinical trials or observational longitudinal studies, or from cross-sectional studies. Center for Targeted Learning, Berke
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!) Pros & Cons of RCT paper: Fernainy, P., Cohen, A.A., Murray, E. et al. Rethinking the pros and cons of randomized controlled trials and observationa
Remembering Ralph B. D'Agostino, Sr.
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, B
Evidence Science with Cat Hicks | Season 4 Episode 11
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: aspiringrobot.com
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
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
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
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
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
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
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
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 J
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
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
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 Bo
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
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
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 court
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 mu
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 Slid
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-gene
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 i
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.
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?
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 TouringPlans, about solving optimization problems in travel and healthcare. 📦 Lucy's R package with touringplans data Len's slide on model choices: Follow along on Twitter: Len: @LenTesta The American Journal of Epidemiology: @AmJEpi Ellie: @EpiEllie Lucy: @LucyStats 🎶 Our intro/outro music is courtesy of
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 Rhode Island. 🔗 Dr. Buchanan's website Follow along on Twitter: The American Journal of Epidemiology: @AmJEpi Ellie: @EpiEllie Lucy: @LucyStats 🎶 Our
Coronavirus Rapid Tests Sensitivity, Specificity, Messaging, and Use Cases | Season 3 Episode 1
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. 📝 Evaluation of the Abbott BinaxNOW rapid antigen test for SARS-CoV-2 infection in children: Implications for screening in a school setting 📝 NY Times article: One in 5,000 🐦 Kareem Carr's tweet about omitted vari
Our Michael Jordan Episode | Season 2 Episode 5
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 t
Health Policy with Julia Raifman | Season 2 Episode 4
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. 📝 Geof
Celebrating 100 years with a look forwards and back with the D'Agostinos | Season 2 Episode 3
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 profes
The Most Ambitious Crossover | Season 2 Episode 2
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 (Luc
Happy Anniversary to Us! | Season 2 Episode 1
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
Why Everyone is Excited About Causal Inference These Days with Roger Peng | Episode 18
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: The American Journal of Epidemiology: @AmJEpi Ellie: @EpiEllie Lucy: @LucyStats Roger: @rdpeng 🎶 Our intro/outro music is courtesy of Joseph M
Thinking About Schools Reopening From a Causal Perspective with Emily Oster | Episode 17
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: The Amer
An Ode to Generalized Linear Models | Episode 16
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: The American Journal of Epidem
Methodological Advances in Causal Inference with Betsy Ogburn | Episode 15
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: The American Journal of Epidemiology: @AmJEpi Ellie: @EpiEllie Lucy:
Casual Inference Live from SER | Episode 14
Ellie Murray and Lucy D'Agostino McGowan are live for Society for Epidemiologic Research (SER) week! Follow along on Twitter: The American Journal of Epidemiology: @AmJEpi Ellie: @EpiEllie Lucy: @LucyStats 🎶 Our intro/outro music is courtesy of Joseph McDade. 👩🎨 Our artwork is by Allison Horst.
Community Engagement, Health Disparities, and Measure Development with Melody Goodman | Episode 13
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 qu
COVID-19, Masks, and Designing Observational Studies | Episode 12
Ellie Murray and Lucy D'Agostino McGowan chat about coronavirus, the evidence we have about masks, and designing observational studies. Follow along on Twitter: The American Journal of Epidemiology: @AmJEpi Ellie: @EpiEllie Lucy: @LucyStats 🎶 Our intro/outro music is courtesy of Joseph McDade. 👩🎨 Our artwork is by Allison Horst.
Getting Bayesian with Frank Harrell | Episode 11
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 Biomedica
Coronavirus Conversations 2 | Episode 10
Ellie Murray and Lucy D'Agostino McGowan discuss coronavirus a bit more, focusing on mask wearing, data quality, disease modeling, and more! 📈 IHME COVID-19 projections 😷 A quick DIY cloth mask how-to 😷 Ellie's TikTok on safe mask removal 🧪 Lucy's tweetorial on estimating prevalences from testing data 🤷♀️ Lucy's model uncertainty tweetorial Follow along on Twitter: The American Journal of Epid
Coronavirus Conversations | Episode 09
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 How I wonder where you are Are you on my hands right now? O
Causal inference for data science with Sean Taylor | Episode 08
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 AJE Methods Corner Follow along on Twitter: T
Asking harder causal questions with Whitney Robinson | Episode 07
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 pa
Internal and External Validity with Elizabeth Stuart | Episode 06
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: 📝 Kern et al paper on Assessing Methods for Generalizing Experimental Impact Estimates to Target Populations 📝 Article by
Science Communication with Gideon Meyerowitz-Katz | Episode 05
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 🎙 Everything Hertz Podcast 🎙Gideon's
Quantitative Bias Analysis with Matt Fox | Episode 04
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 📚 Matt's textbook on quantitative bias analysis 🔗 Bias analysis website: sites.google.com/site/biasanal
Fairness in Machine Learning with Sherri Rose | Episode 03
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 📄 The Blessing of Multiple Causes 📄 Dissecting racial bias in an algorithm used to manage the health of populations 📚 Sher
Socializing about Social Epidemiology with Onyebuchi Arah | Episode 02
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 Epide
Talking Target Trials with Miguel Hernan | Episode 01
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: The American Journal of Epidemiology: @AmJEpi Ellie: @EpiEllie Lucy: @LucyStats Miguel: @_Migue
Keeping it casual: the pilot | Episode 00
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: The American Journal of Epidemiology: @AmJEpi Ellie: @EpiEllie Lucy: @LucyStats Our intro/outro music is courtesy of Joseph McDade.
