Casual Inference

53:52

The Intersection of Machine Learning and Causal...

Casual Inference ·

2022/03/14

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 courtesy of Joseph McDade Edited by Quinn Rose: aspiringrobot.com

en-US

55:04

Artificial Intelligence, Personalized Medicine, and...

Casual Inference ·

2022/02/28

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 music is courtesy of Joseph McDade

en-US

48:45

The history of John Snow, Cholera, and Cookies with...

Casual Inference ·

2022/02/14

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 Slide link: https://bit.ly/3DnQai5 🎶 Our intro/outro music is courtesy of Joseph McDade

en-US

01:11:47

Asking questions that matter, getting answers that...

Casual Inference ·

2021/12/05

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-generated): https://bit.ly/3y4OskQ 🎶 Our intro/outro music is courtesy of Joseph McDade.

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01:12:06

A Casual Look at Causal Inference History | Season 3...

Casual Inference ·

2021/11/22

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 is courtesy of Joseph McDade.

en-US

01:09:42

Hanging out in the data science trough of...

Casual Inference ·

2021/11/08

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.

en-US

01:08:13

Metascience with Noah Haber | Season 3 Episode 4

Casual Inference ·

2021/10/25

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? A Statistical View of Replicability in Psychological Science 📝 Design principles of data analysis

en-US

57:57

Solving Optimization Problems in Healthcare and...

Casual Inference ·

2021/10/11

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 Joseph McDade.

en-US

59:48

Causal Inference and Network Science for Public...

Casual Inference ·

2021/09/27

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 intro/outro music is courtesy of Joseph McDade.

en-US

01:01:50

Coronavirus Rapid Tests Sensitivity, Specificity,...

Casual Inference ·

2021/09/13

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 variable bias in randomized controlled trials 📝 Israeli data: How can efficacy vs. severe disease be

en-US

38:51

Our Michael Jordan Episode | Season 2 Episode 5

Casual Inference ·

2021/03/02

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

en-US

01:05:40

Health Policy with Julia Raifman | Season 2 Episode 4

Casual Inference ·

2021/02/08

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 📝Julia’s recent paper - Association Between

en-US

01:02:56

Celebrating 100 years with a look forwards and back...

Casual Inference ·

2021/01/21

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

en-US

52:25

The Most Ambitious Crossover | Season 2 Episode 2

Casual Inference ·

2020/12/15

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

en-US

54:49

Happy Anniversary to Us! | Season 2 Episode 1

Casual Inference ·

2020/11/13

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: Follow along on Twitter: The

en-US

59:27

Why Everyone is Excited About Causal Inference These...

Casual Inference ·

2020/10/30

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 McDade. 👩‍🎨 Our artwork is by Allison Horst.

en-US

01:14:51

Thinking About Schools Reopening From a Causal...

Casual Inference ·

2020/10/16

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 American Journal of Epidemiology: @AmJEpi Emily: @profemilyoster Ellie: @EpiEllie Lucy: @LucyStats 🎶 Our

en-US

45:55

An Ode to Generalized Linear Models | Episode 16

Casual Inference ·

2020/10/02

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 Epidemiology: @AmJEpi Ellie: @EpiEllie Lucy: @LucyStats 🎶 Our intro/outro music is courtesy of Joseph

en-US

01:14:53

Methodological Advances in Causal Inference with...

Casual Inference ·

2020/09/17

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: @LucyStats Betsy: @BetsyOgburn 🎶 Our intro/outro music is courtesy of Joseph McDade. 👩‍🎨 Our

en-US

50:35

Casual Inference Live from SER | Episode 14

Casual Inference ·

2020/06/24

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.

en-US

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