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.
Regression to the Mean Girls | The Kiss Effect on Television Ratings with Ashley Mullan
Follow Regression to the Mean Girls on [â â â â â â â â â Apple Podcastsâ â â â â â â â â ], [â â â â â â â â â Spotifyâ â â â â â â â â ], or wherever you love to listen!
â Ashley Mullanâ  join â â â â â â â â â â â â â Sarah Lotspeichâ â â â â â â â â â â â â  and â â â â â â â â â â â â â Lucy D'Agostino McGowanâ â â â â â â â â â â â â â  with a data-driven side quest into how a TV couples first kiss impacts ratings.
Follow along on instagram:Â
â â â â â â â â â â â @regressiontothemeangirlsâ â â
Regression to the Mean Girls | BART for Baseball with Sameer Deshpande
Follow Regression to the Mean Girls on [â â â â â â â â Apple Podcastsâ â â â â â â â ], [â â â â â â â â Spotifyâ â â â â â â â ], or wherever you love to listen!
Sameer Deshpandeâ  join â â â â â â â â â â â â Sarah Lotspeichâ â â â â â â â â â â â  and â â â â â â â â â â â â Lucy D'Agostino McGowanâ â â â â â â â â â â â â  with a data-driven side quest into using BART for baseball!
Check out the details here:Â â â â â â â â â â â â â regressiontothemeangirls.comâ â â â â â â â â â â
Follow along on instagram:Â
â â â â â â â â â â @regressiontothemeangirlsâ â
Regression to the Mean Girls | Dancing with the Stats with Grayson Weavil, Madeline Merrill, and Wesley Krieger
Follow Regression to the Mean Girls on [â â â â â â â Apple Podcastsâ â â â â â â ], [â â â â â â â Spotifyâ â â â â â â ], or wherever you love to listen!
Grayson Weavil, Madeline Merrill, and Wesley Krieger join â â â â â â â â â â â Sarah Lotspeichâ â â â â â â â â â â  and â â â â â â â â â â â Lucy D'Agostino McGowanâ â â â â â â â â â â â  with a data-driven side quest into Dancing with the Stars stats.
Check out the details here:Â â â â â â â â â â â regressiontothemeangirls.comâ â â â â â â â â
Follow along on instagram:Â
â â â â â â â â â @regressiontothemeangirlsâ â
Regression to the Mean Girls | Mixed Effects, Mixed Signals: Love Island Kissing Scores with Hannah Barton
Follow Regression to the Mean Girls on [â â â â â â Apple Podcastsâ â â â â â ], [â â â â â â Spotifyâ â â â â â ], or wherever you love to listen!
Hannah Barton joins â â â â â â â â â â Sarah Lotspeichâ â â â â â â â â â  and â â â â â â â â â â Lucy D'Agostino McGowanâ â â â â â â â â â â  with a data-driven side quest into Love Island Kissing Scores.
Check out the details here:Â â â â â â â â â â â regressiontothemeangirls.comâ â â â â â â â â â
Follow along on instagram:Â
â â â â â â â â @regressiontothemeangirlsâ â
Regression to the Mean Girls | Every Man's Causal Inference with Roger Peng
Follow Regression to the Mean Girls on [â â â â â Apple Podcastsâ â â â â ], [â â â â â Spotifyâ â â â â ], or wherever you love to listen!
Roger Pengâ  joins â â â â â â â â â Sarah Lotspeichâ â â â â â â â â  and â â â â â â â â â Lucy D'Agostino McGowanâ â â â â â â â â â  with a data-driven side quest into becoming an accidental business man.
Check out the details here:Â â â â â â â â â â regressiontothemeangirls.comâ â â â â â â â â
Follow along on instagram:Â
â â â â â â â @regressiontothemeangirlsâ â
Regression to the Mean Girls | The Marshmallow Test (Not That One) with Mattan Ben-Shachar
Follow Regression to the Mean Girls on [â â â â Apple Podcastsâ â â â ], [â â â â Spotifyâ â â â ], or wherever you love to listen!
Mattan Ben-Shacharâ  joins â â â â â â â â Sarah Lotspeichâ â â â â â â â  and â â â â â â â â Lucy D'Agostino McGowanâ â â â â â â â â  with a data-driven side quest into whether different colored marshmallows taste different.Â
*Be sure to listen to the end for a surprising addendum!
Check out the full process here:Â â â â â â â â â regressiontothemeangirls.comâ â â â â â â â
Follow along on instagram:Â
â â â â â â @regressiontothemeangirlsâ â
Regression to the Mean Girls | Election Data Web Scraping with Emily Riederer
Follow Regression to the Mean Girls on [â â â Apple Podcastsâ â â ], [â â â Spotifyâ â â ], or wherever you love to listen!
â Emily Riedererâ â â â â  (Capital One) joins â â â â â â â Sarah Lotspeichâ â â â â â â  and â â â â â â â Lucy D'Agostino McGowanâ â â â â â â â  with a data-driven side quest into scraping election data.Â
Check out the full process here:Â â â â â â â â regressiontothemeangirls.comâ â â â â â â
Follow along on instagram:Â
â â â â â @regressiontothemeangirlsâ â â
Regression to the Mean Girls | The Art of Web Scraping Art with Hadley Wickham
Follow Regression to the Mean Girls on [â â Apple Podcastsâ â ], [â â Spotifyâ â ], or wherever you love to listen!
â Hadley Wickhamâ  (Posit) joins â â â â â Sarah Lotspeichâ â â â â  and â â â â â Lucy D'Agostino McGowanâ â â â â â  with a data-driven side quest into building a web scraper to help acquire art.Â
Check out the full process here:Â â â â â â regressiontothemeangirls.comâ â â â â
Links to content we chat about on the episode:
â â â Weston Lambert Artâ â Parallel strands between learning crochet and learning programming by MaĂ«lle SalmonâFollow along on instagram:Â
â â â @regressiontothemeangirlsâ
Regression to the Mean Girls | The Comfort of Competence and the Speed of Justice, According to Law & Order
Follow Regression to the Mean Girls on [â Apple Podcastsâ ], [â Spotifyâ ], or wherever you love to listen!
Christine Zhangâ  (â New York Timesâ ) joins â â â Sarah Lotspeichâ â â  and â â â Lucy D'Agostino McGowanâ â â â  with a data-driven side quest into the TV show Law and Order.Â
Check out the full analysis here:Â â â â regressiontothemeangirls.comâ â â
Links to content we chat about on the episode:
â Wrong Number newsletterâ â The Speed of Justice, According to Law & OrderâFollow along on instagram:Â
â @regressiontothemeangirls
Regression to the Mean Girls | The Work is Mysterious and Important: Severance Data
Follow Regression to the Mean Girls on [Apple Podcasts], [Spotify], or wherever you love to listen!
â Lucy D'Agostino McGowanâ â  and â â Sarah Lotspeichâ â  return with a data-driven side quest into the TV show Severance. Lucy analyzes whether Milchick really uses more complicated language than his colleagues.
Check out the full analysis here:Â â â regressiontothemeangirls.comâ â
Links to content we chat about on the episode:
â â Lucy's Severance data R package [mdr]â â â â Lucy's other Severance analysesâ â â â Dunnetâ â â â Radial plot of who is speaking in Severance â âFollow along on instagram:Â
@regressiontothemeangirls<
Regression to the Mean Girls | Romance by the Numbers: First Sparks Across Tropes
Sarah Lotspeichâ  and â Lucy D'Agostino McGowanâ  introduce Regression to the Mean Girls, a podcast about data-driven side quests in pop culture. In this episode, Sarah analyzes 45 recent romance novels to find out how different romance tropes affect the timing of the coupleâs first kiss.
Check out the full analysis here:Â â https://regressiontothemeangirls.com/â
Links to content we chat about on the episode:
â Edward L. Kaplan and the Kaplan-Meier Survival Curveâ â Nonparametric Estimation from Incomplete Observationsâ â Not just love, actually: why romance fiction is boomingâ â What is the lipstick index?âFollow along on instagr...
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: âȘ@emilyriederer.bsky.social⏠Ellie: @epiellie.bsky.social Lucy: @lucystats.bsky.social  đ¶ 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 PCORnetŸ Front Door: Access point for potential investigators, patient groups, and other stakeholders to connect with PCORnet and get support for potential research studies Patient-Centered Outcomes Data Repository (PDOCR): De-identified data from 24 (and counting) PCORI-funded studies Follow along on Bluesky: Carly: @carlybrantner.bsky.social Ellie: @epiellie.bsky.social Lucy: @lucystats.bsky.social  đ¶ Our intro/outro music is courtesy of Joseph McD...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 marginal effects post: https://www.andrewheiss.com/blog/2022/05/20/marginalia/ Andrew's post on "fixed effects" and mariginal effects across different disciplines: https://www.andrewheiss.com/blog/2022/11/29/conditional-marginal-marginaleffects/ Follow along on Bluesky: Andrew: @andrew.heiss.phd Ellie: @epiellie.bsky.social Lucy: @lucystats.bsky.social  đ¶ Our intro/outro music is courtesy of J...
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. Â
Ellie breaks down her Substack critique of the study. Together, she and Lucy discuss the methodological flaws and what a better version of this study might look like. Â
Vaccination and Neurodevelopmental Disorders: A Study of Nine-Year-Old Children Enrolled in Medicaid: https://publichealthpolicyjournal.com/vaccination-and-neurodevelopmental-disorders-a-study-of-nine-year-old-children-enrolled-in-medicaid/ RFK Jr is promoting a new study claiming "vaccines cause autism" but it do...From Model to Meaning with Vincent Arel-Bundock | Season 6 Episode 4
Vincent Arel-Bundock is a professor at the UniversitĂ© de MontrĂ©al, 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: @epiellie.bsky.social Lucy: @lucystats.bsky.social   đ¶ Our intro/outro music is courtesy of Joseph McDade. Edited by Cameron Bopp.
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:Â https://ngreifer.github.io/WeightIt/ MatchIt package: https://kosukeimai.github.io/MatchIt/ Noah's awesome Stack Exchange post: https://stats.stackexchange.com/a/544958Follow along on Bluesky:
Noah: @noahgreifer.bsky.social Ellie: @EpiEllie.bsky.social Lucy: @LucyStats.bsky.socialđ¶ Our intro/outro music is courtesy of Joseph McDade. Edited by Cameron Bopp.
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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/2412.10635v1Follow along on Twitter:
The American Journal of Epidemiology: @AmJEpi
Ellie: @EpiEllie
Lucy: @LucyStats
đ¶ 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
Ellie:Â @EpiEllie.bsky.social
Lucy:Â @LucyStats.bsky.social
đ¶ Our intro/outro music is courtesy of Joseph McDade
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/10.1073/pnas.2302528120
Shuo Feng's pre-print: https://www.medrxiv.org/content/10.1101/2024.04.08.24305335v1
Our uncertainty paper:Â https://pubmed.ncbi.nlm.nih.gov/33475686/
Follow along on Twitter:
Alyssa: @ambilinskiThe American Journal of Epidemiology:Â @AmJEpi
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://www.tandfonline.com/doi/full/10.1080/01621459.2023.2187814
Follow along on Twitter:
The American Journal of Epidemiology:Â @AmJEpi
Ellie:Â @EpiEllie
Lucy:Â @LucyStats
đ¶ Our intro/outro music is courtesy of Joseph McDade
Edited by Cameron Bopp
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
Stephen Mumford, Professor of Metaphysics, Durham University A
Author of Dispositions (Oxford, 1998), Russell on Metaphysics (Routledge, 2003), Laws in Nature (Routledge, 2004), David Armstrong (Acumen, 2007), Watching Sport: Aesthetics, Ethics and Emotion (Routledge, 2011), Getting Causes f...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.
"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:Â @AmJEpi
Ellie:Â @EpiEllie
Lucy:Â @LucyStats
đ¶ Our intro/outro music is courtesy of Joseph McDade
Edited by Cameron Bopp
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 Law of Small Numbers by Joshua B. Miller & Adam Sanjurjo: https://www.jstor.org/stable/44955325
Nima is on Twitter/X as @nshejazi (https://twitter.com/nshejazi) and my academic webpage is https://nimahejazi.org
Recent translational review...
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 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...
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.Â
Winning cookie recipe
Follow along on Twitter:
The American Journal of Epidemiology:Â @AmJEpi
Ellie:Â @EpiEllie
Lucy:Â @LucyStats
đ¶ Our intro/outro music is courtesy of Joseph McDade
Edited 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.
Nick's book, online version: https://theeffectbook.net/
The Paper of How: https://onlinelibrary.wiley.com/share/W2FMEESMMSJMWDEZYY8Y?target=10.1111/obes.12598
Nick's twitter & BlueSky: @nickchk
Nick's website: https://nickchk.com
Follow along on...
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.Â
The Clone-Censor-Weight Method in Pharmacoepidemiologic Research: Foundations and Methodological Implementation: https://link.springer.com/article/10.1007/s40471-024-00346-2Â
Immortal time in pregnancy: https://pubmed.ncbi.nlm.nih.gov/36805380/Â
Follow along on Twitter:
The American Journal of Epidemiology:Â @AmJEpi
Ellie:Â @EpiEllie
Lucy:Â @LucyStats
đ¶ Our intro/outro music is courtesy of Joseph McDade
Edited by Cameron Bopp
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.Â
Center for Targeted Learning, Berkeley: https://ctml.berkeley.edu/
A causal roadmap: https://pubmed.ncbi.nlm.nih.gov/37900353/Â
Short course on causal learning: https://ctml.berkeley.edu/introduction-causal-inferenceÂ
Handbook on the TLverse (Targeted Learning in R): https://ctml.berkeley.edu/publications/tar...
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:Â
Fernainy, P., Cohen, A.A., Murray, E. et al. Rethinking the pros and cons of randomized controlled trials and observational studies in the era of big data and advanced methods: a panel discussion. BMC Proc 18 (Suppl 2), 1 (2024). https://doi.org/10.1186/s12919-023-00285-8
Follow along o...
Remembering Ralph B. D'Agostino, Sr.
We are re-releasing an episode from 2021 in remembrance of Ralph D'Agostino, Sr.Â
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.Â
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 th...
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.Â
Â
Follow along on Twitter:
Cat: @grimalkina The American Journal of Epidemiology: @AmJEpi Ellie: @EpiEllie Lucy: @LucyStatsđ¶Â Our intro/outro music is courtesy of Joseph McDade
Edited by Quinn Rose:Â 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!
Â
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: @LucyStatsđ¶Â Our intro/outro music is courtesy of Joseph McDade
Edited by Quinn Rose:Â 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: @LucyStatsđ¶Â Our intro/outro music is courtesy of Joseph McDade
Edited by Quinn Rose:Â 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: @LucyStatsđ¶Â Our intro/outro music is courtesy of Joseph McDade
Edited by Quinn Rose:Â aspiringrobot.com
Sensitivity Analyses for Unmeasured Confounders | Season 4 Episode 7
Lucy D'Agostino McGowan and Ellie Murray chat about confounding!
âïžÂ Lucy's new paper: Sensitivity Analyses for Unmeasured Confounders
Follow along on Twitter:
The American Journal of Epidemiology: @AmJEpi Ellie: @EpiEllie Lucy: @LucyStatsđ¶Â Our intro/outro music is courtesy of Joseph McDade
Edited by Quinn Rose:Â 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.
âïž 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: @LucyStatsđ¶Â Our intro/outro music is courtesy of Joseph McDade
Edited by Quinn Rose:Â aspiringrobot.com
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.Â
Follow up:
âïž Andrew Heiss's blog post on marginal and conditional effects for GLMMs
Follow along on Twitter:
Maria Glymour: @MariaGlymour The American Journal of Epidemiology: @AmJEpi Ellie: @EpiEllie Lucy: @LucyStatsđ¶Â Our intro/outro music is courtesy of Joseph McDade
Edited by Quinn Rose:Â aspiringrobot.com
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: @LucyStatsđ¶Â 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: @LucyStatsđ¶Â Our intro/outro music is courtesy of Joseph McDade
Edited by Quinn Rose:Â aspiringrobot.com
