Anmelden
Cover von Casual Inference

Wissenschaft

Casual Inference

von Lucy D'Agostino McGowan and Ellie Murray

Website RSS

Folgenzu den neuesten

  1. 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 (https://www.pluralsight.com/developer-success-lab) at Pluralsight Flow, about evidence science. Follow along on Twitter: • Cat: @grimalki

  2. 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 (https://arxiv.org/pdf/2304.02683.pdf) Lucy's quartets R package (https://r-causal.git

  3. 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 (https://tlverse.org/tlverse-handbook/index.html) Follow along on Twitter: • The American Journal of Epidemiology: @AmJEpi

  4. 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 (https://twitter.com/VikiGastens) • Viktoria'

  5. 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 (https://link.springer.com/article/10.1007/s40471-022-00308-6) Follow along on Twitter: • The American Jou

  6. 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, Th

  7. 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 i

  8. 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: @Lucy

  9. 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 o

  10. 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 (https

  11. 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 ep

  12. 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 Pro

  13. 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 • Lu

  14. 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 (https://twitter.com/toyyapujol) • The American Journal of Epidemiology

  15. 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 (https://mymakar.github.io/), Presidential postdoctoral fellow and assistant professor in Computer Science and Engineering at the University of Michigan. Follow

  16. 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 (https://en.wikipedia.org/wiki/Judea_Pearl), Chancellor professor of computer science and statistics at the University of California, Los Angeles. 📄 Judea's rec

  17. 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

  18. 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. Follo

  19. 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 Rubi

  20. 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 (https:

  21. 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 Ob

  22. 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 (https://touringplans.com), about solving optimization problems in travel and healthcare. 📦 Lucy's R package with touringplans data (ht

  23. 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 Univer

  24. 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 te

  25. 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 🎲 Th

  26. 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

  27. 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 statist

  28. 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 br

  29. 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

  30. 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 al

Ältere Folgen

Anmelden oder registrieren

Jetzt

0:00 / 0:00