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Casual Inference - Health Policy with Julia Raifman | Season 2 Episode 4

Health Policy with Julia Raifman | Season 2 Episode 4

02/08/21 • 65 min

Casual Inference

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:

🎶 Our intro/outro music is courtesy of Joseph McDade.

👩‍🎨 Our artwork is by Allison Horst.

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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:

🎶 Our intro/outro music is courtesy of Joseph McDade.

👩‍🎨 Our artwork is by Allison Horst.

Previous Episode

undefined - Celebrating 100 years with a look forwards and back with the D'Agostinos | Season 2 Episode 3

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 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:

🎶 Our intro/outro music is courtesy of Joseph McDade.

👩‍🎨 Our artwork is by Allison Horst.

Next Episode

undefined - Our Michael Jordan Episode | Season 2 Episode 5

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

🎲 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:

🎶 Our intro/outro music is courtesy of Joseph McDade.

👩‍🎨 Our artwork is by Allison Horst.

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