Casual Inference

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Starting the Conversation on Models with Alyssa Bilinski | Season 5 Episode 11

Saison 5 · Épisode 59

mercredi 10 juillet 2024 • Durée 48:11

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: https://pubmed.ncbi.nlm.nih.gov/33475686/

Follow along on Twitter:

Alyssa: @ambilinski
The American Journal of Epidemiology: @AmJEpi
Ellie: @EpiEllie
Lucy: @LucyStats

🎶 Our intro/outro music is courtesy of Joseph McDade
Edited by Cameron Bopp

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Flexible methods with Edward Kennedy | Season 5 Episode 10

Saison 5 · Épisode 58

mercredi 26 juin 2024 • Durée 38:56

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: @AmJEpi
Ellie: @EpiEllie
Lucy: @LucyStats

🎶 Our intro/outro music is courtesy of Joseph McDade
Edited by Cameron Bopp

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Pros and Cons of Randomized Controlled Trials | Season 5 Episode 1

Saison 5 · Épisode 49

mercredi 21 février 2024 • Durée 17:54

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 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 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

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Remembering Ralph B. D'Agostino, Sr.

Saison 5 · Épisode 48

lundi 2 octobre 2023 • Durée 49:36

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.

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Evidence Science with Cat Hicks | Season 4 Episode 11

Saison 4 · Épisode 47

lundi 17 juillet 2023 • Durée 49:40

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

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M-Bias: Much Ado About Nothing? | Season 4 Episode 10

Saison 4 · Épisode 46

lundi 24 avril 2023 • Durée 38:54

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

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Thinking about Targeted Learning | Season 4 Episode 9

Saison 4 · Épisode 45

mardi 11 avril 2023 • Durée 46:01

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

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Prevention Strategies via the #Epicookiechallenge | Season 4 Episode 8

Saison 4 · Épisode 44

mercredi 29 mars 2023 • Durée 38:11

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

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Sensitivity Analyses for Unmeasured Confounders | Season 4 Episode 7

Saison 4 · Épisode 43

mardi 14 mars 2023 • Durée 38:45

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

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Randomized Controlled Trials: Efficacy versus Effectiveness, Safety vs Safetiness | Season 4 Episode 6

Saison 4 · Épisode 42

mardi 28 février 2023 • Durée 01:07:24

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 Joseph McDade
Edited by Quinn Rose: aspiringrobot.com

Lire plusRéduire

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Casual Inference – Détails, épisodes et analyse

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Casual Inference – Détails, épisodes et analyse

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Apple Podcasts

Spotify

Liens partagés entre épisodes et podcasts

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