25 episodes

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.

Casual Inference Lucy D'Agostino McGowan and Ellie Murray

    • Science
    • 4.5 • 8 Ratings

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.

    A Series Recap + Coronavirus Rapid Tests Discussion

    A Series Recap + Coronavirus Rapid Tests Discussion

    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 strong when 60% of hospitalized are vaccinated?
    🦠 A calculator that lets you estimate COVID risk [microcovid]
    In the (Local) News
    📰 Will Podcasting and Social Media Replace Journals and Traditional Science Communication? No, but...
    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.

    • 1 hr 1 min
    Our Michael Jordan Episode

    Our Michael Jordan Episode

    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 @AlenaSorensen



    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.

    • 38 min
    Health Policy with Julia Raifman

    Health Policy with Julia Raifman

    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 Receipt of Unemployment Insurance and Food Insecurity Among People Who Lost Employment During the COVID-19 Pandemic in the United States
    PeDAGogy
    Come up with a Bridgerton DAG and share it with us on Twitter! Here is one for inspiration.  
    Me: "Hi please fund me to do innovative research"

    Also me: "Sure I'll lead a DAG discussion on the @PWGTennant et al. @IJEeditorial paper... I'd like to focus on how offensively hot the guy from Bridgerton is."@mrc_ieu and @BristolTARG PhD student Mark Gibson made my day! pic.twitter.com/CFOoYhMGjt

    — Gareth Griffith (@Garethjgriffith) February 1, 2021 Follow along on Twitter:
    The American Journal of Epidemiology: @AmJEpi Julia: @JuliaRaifman Ellie: @EpiEllie Lucy: @LucyStats 🎶 Our intro/outro music is courtesy of Joseph McDade.
    👩‍🎨 Our artwork is by Allison Horst.

    • 1 hr 5 min
    Celebrating 100 years with a look forwards and back with the D'Agostinos

    Celebrating 100 years with a look forwards and back with the D'Agostinos

    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 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 are 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. 
    It also turns out they are Lucy’s father and grandfather, so we have 3 generations of statisticians on the pod!
    We also have Amit Sasson on to discuss the winning cookie from the #EpiCookieChallenge as well as her work in causal inference!

    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.
     

    • 1 hr 2 min
    The Most Ambitious Crossover

    The Most Ambitious Crossover

    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 hope!) conversation of the burgeoning field of epidemiology podcasting, emceed by Geetika Kalloo.

    • 52 min
    Happy Anniversary to Us!

    Happy Anniversary to Us!

    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 American Journal of Epidemiology: @AmJEpi Ellie: @EpiEllie Lucy: @LucyStats 🎶 Our intro/outro music is courtesy of Joseph McDade.
    👩‍🎨 Our artwork is by Allison Horst.
     

    • 54 min

Customer Reviews

4.5 out of 5
8 Ratings

8 Ratings

AlanVancouver ,

Smart and fun podcast on causal inference

This podcast is a fun and engaging way to get exposure to current developments and debates in the world of causal inference. While the hosts come from a biostatistics and epidemiology perspective, as do some of the applications discussed, as a political scientist I’d say the show and methods discussed will be of general interest to social scientists. Also has been great on how to think critically about emerging data and findings on COVID.

Markchung55 ,

Great podcast

Big fan of your podcast here north of the border.
Perhaps consider interviewing a clinician scientist, and if you already have my apologies for missing it!

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