Podcasts by SERious EPI
SERious EPI is a podcast hosted by Hailey Banack and Matt Fox where leading epidemiology researchers are interviewed on cutting edge and novel methods. Interviews focus on why these methods are so important, what problems they solve, and how they are currently being used.
Further podcasts by Sue Bevan - Society for Epidemiologic Research
Podcast on the topic Wissenschaft
All episodes
S3E8: Feedback loops? Feedback spirals? Disentangling what we know about time-varying exposures. from 2023-10-31T06:00:55
This episode is focused on Chapter 25 of Modern Epidemiology 4th edition, Causal Inference with Time Varying Exposures. In this episode, Matt and Hailey talk about how we should think about exposur...
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S3E8: Maybe censoring is the least of your worries? from 2023-09-30T06:00:37
Recording from across the globe, in Melbourne, Australia, Dr. Margarita Moreno-Betancur joins us for an episode on Chapter 22 in Modern Epidemiology (4th edition) on Time-to-Event Analyses. This is...
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S3E7: Are time to event analyses the Space Mountain of epidemiology? from 2023-08-31T06:00:45
In this episode Matt and Hailey discuss Chapter 22 of the 4th edition of Modern Epidemiology. This is a chapter focused on time to event analyses including core concepts related to time scales, cen...
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S3E6: Stratification with Rich MacLehose: Should you have Bert or Ernie pick you up from surgery? from 2023-07-30T06:00:33
In this episode we discuss Chapter 18 in the Modern Epidemiology (4th Ed) textbook focused on stratification and standardization with Dr. Rich MacLehose. We invited the illustrious Dr. MacLehose to...
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S3E5: Should I memorize the Mantel Haenszel formula? from 2023-06-30T06:00:14
This is an episode focused on ME4 Chapter 18 (Stratification and Standardization). This is a pretty formula-heavy chapter and I’m sure all of our listeners are tuning in to hear Matt’s voice read t...
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S3E4. Selecting people or selecting data: exploring different aspects of selection bias from 2023-05-30T06:00:09
In this episode we feature a super expert on all things related to selection bias, Dr. Chanelle Howe. There are a lot of confusing issues related to selection bias: how it’s defined, how it relates...
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S3E3. How do we deal with the people who never made it into our study? from 2023-05-02T16:46:33
In this episode, Matt and Hailey discuss all things selection bias. This chapter on selection bias and generalizability is the shortest of the bias chapters in the Modern Epidemiology textbook. Doe...
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S3E2: Should we try to ensure misclassification is non-differential? Discussing measurement error with Dr. Patrick Bradshaw from 2023-03-30T06:00:17
In this episode we have a conversation with Patrick Bradshaw about issues related to measurement error, misclassification, and information bias. We ask him to help define and clarify the difference...
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S3E1: Are we measuring what we think we’re measuring? from 2023-03-15T06:00:26
In the season three premiere Matt and Hailey discuss Chapter 13 in Modern Epidemiology, 4th edition. For the third season of the SERious Epi podcast, we are going to continue our close-reading of t...
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S2E16: There’s a 95% probability you’ll enjoy learning about sample size and precision with Dr. Jon Huang from 2022-12-15T18:06:50
In this episode of Season 2 of SERious Epidemiology, Hailey and Matt connect with Dr. Jon Huang for a discussion on precision and study size. We wade into whether or not we should use p-values. We ...
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S2E15: As random as it gets from 2022-10-31T19:40:34
In this episode of Season 2 of SERious Epidemiology, Hailey and Matt finally start talking about random error. We explore the deep philosophical (as deep as we are capable of) meaning behind random...
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S2E14: Confounding will never go away – with Maya Mathur from 2022-08-27T13:25:30
In this episode of Season 2 of SERious Epidemiology, Hailey and Matt connect with Dr. Maya Mathur for a discussion on confounding. We talk about different ways of thinking about confounding and we ...
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S2E13: Confounding: Ten thousand arrows going into a bunch of squiggly things from 2022-08-22T13:25:20
In this episode of Season 2 of SERious Epidemiology, Hailey and Matt discuss confounding and whether confounding is hogging the spotlight in epi methods and epi teaching. We debate the value of all...
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S2E12: How great are case-control studies with Ellie Matthay from 2022-07-05T16:13:06
In this episode of Season 2 of SERious Epidemiology, (recorded back when we were getting COVID booster shots) Hailey and Matt connect with Dr. Ellie Matthay for a discussion on Chapter 8 on case-co...
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S2E11: Case Control Studies from 2022-06-06T15:55:49
In this episode of Season 2 of SERious Epidemiology, Hailey and Matt get into the humble case control study. We discuss the ins and outs of this much maligned study design that has so flummoxed so ...
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S2E10: The Return of the Cohort Studies from 2022-04-18T15:52:59
In this episode of Season 2 of SERious Epidemiology, Hailey and Matt get some real world experience with cohort studies in a conversation with Dr. Vasan Ramachandran, PI of the Framingham Heart Stu...
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S2E9: The Cohort Studies Brouhaha from 2022-03-27T22:29:32
In this episode of Season 2 of SERious Epidemiology, Hailey and Matt get into cohort studies. We spend a lot of time confessing our limitations, both personally, and as a field, in assigning person...
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S2E8: Measures of Effect with Katie Lesko from 2022-02-25T15:42:45
In this episode of Season 2 of SERious Epidemiology, Hailey and Matt connect with Dr. Katie Lesko for a discussion on Chapter 5 on measures of association and measures of effect. We confess our cha...
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S2E7: The donut episode: Measures of association from 2022-01-31T18:38:48
In this episode of Season 2 of SERious Epidemiology, Hailey and Matt record, then re-record due to a technical error (ooops!) a discussion on Chapter 5 on measures of association and measures of ef...
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S2E6: Chapter 4–The building blocks of epi with Dr. Liz Stuart from 2022-01-19T15:56
In this episode of Season 2 of SERious Epidemiology, Hailey and Matt go back to chapter 4 of Modern Epidemiology but this time with Dr. Liz Stuart (who may not have trained as an epidemiologist but...
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S2E5: Chapter 4 – The great open vs closed population debate from 2022-01-06T20:55:06
In this episode of Season 2 of SERious Epidemiology, Hailey and Matt dig into chapter 4 of Modern Epidemiology. We focused on the some of the basic building blocks of epidemiology, rates, proportio...
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S2E4: More on causal inference with Dr. Jay Kaufman from 2021-12-02T18:20:43
In this episode of Season 2 of SERious Epidemiology, Hailey and Matt go back to Chapters 2 and 3 of Modern Epidemiology but this time with guest Dr. Jay Kaufman of McGill University. We focused on ...
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S2E3. More on causal inference and scientific reasoning from 2021-10-28T17:13:35
In this episode of Season 2 of SERious Epidemiology, Hailey and Matt try to finish off Chapter 3 of Modern Epidemiology given they couldn’t get it all into one episode as originally promised. We ta...
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S2E2: A discussion on causal inference and scientific reasoning from 2021-09-29T16:41:36
In this episode of Season 2 of SERious Epidemiology, Hailey and Matt take on Chapters 2 and 3 of Modern Epidemiology… at least that was the plan, we really only got to chapter 2 so we’ll be back ag...
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S2E1: Modern Epidemiology: An interview with Dr. Kenneth Rothman from 2021-09-07T21:31:09
We are going in a new direction for Season 2 of SERious Epidemiology. This season Hailey and Matt are focusing exclusively on the new fourth edition of the textbook Modern Epidemiology. The textboo...
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1.20 Season 1 Finale: Will we ever have to stop wearing sweatpants to work? Lessons from a year of pandemic podcasting. from 2021-05-01T14:54:31
Join Matt Fox and Hailey Banack for our final episode of the first season of SERious Epidemiology, a season which happened to take place entirely during the COVID-19 pandemic. The pandemic has rais...
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1.19 SERious Epi Journal Club–BNT162b2 mRNA Covid-19 Vaccine in a Nationwide Mass Vaccination Setting from 2021-04-15T14:33:37
In this journal club episode, Dr. Matt Fox and Dr. Hailey Banack discuss a paper recently published in the New England Journal of Medicine by Dagan et al. on the Pfizer COVID-19 vaccine. Listen in ...
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1.18 Lifecourse epidemiology: a melting pot of bias? from 2021-04-01T15:25:01
The topic of this episode is lifecourse epidemiology, defined by Dr. Paola Gilsanz as the biological, behavioural and social processes that influence an individual’s health outcomes throughout thei...
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1.17 Do external validity and transportability confuse the daylights out of you? from 2021-03-15T16:36:16
Ask yourself these true or false questions: Generalizability and transportability and external validity are all the same thingGeneralizability is a secondary concern to internal validity We sp...
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1.16 Finding the Perfect Match Requires Common Support: Matching with Dr. Anusha Vable from 2021-03-01T15:16:55
Matching is something we learn about in our intro to epidemiology classes and yet we probably spend little time thinking about it after that, we just do it. But when should we match and when does i...
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1.15 The pool is big enough for all of us: Representativeness with Dr. Jonathan Jackson from 2021-02-15T08:00:49
Perhaps the biggest challenge we all face in epidemiologic research is recruitment of study participants. And recruiting a diverse population for our studies that allows for broad generalizability ...
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1.14. It’s always a competition: Competing Risks with Dr. Bryan Lau from 2021-02-01T06:00:34
Do you, like us, understand that competing risks are important to account for and yet are not 100% sure exactly what they are and when they matter? Do you stay up at night wondering if competing ri...
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1.13. It’s all about the instruments: with Sonja Swanson from 2021-01-15T17:21:58
What are instrumental variables? Should I be using them in my research? And if so, how do I do that? In this episode of SERious Epidemiology, we talk with Dr. Sonja Swanson about what instrumental ...
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1.12. Epidemiology podcast crossover from 2021-01-01T20:09:53
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 rec...
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1.11. The need for theory in epidemiology – with Dr. Nancy Krieger from 2020-12-14T17:24:36
Episode Title: The need for theory in epidemiology with Dr. Nancy Krieger This episode features an interview with Dr. Nancy Krieger, Professor of Social Epidemiology at the T.H. Chan School of Pub...
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1.10. Quasi-experimental Studies – A Love Story: With Tarik Benmarhnia from 2020-12-01T05:00:03
What puts the quasi in quasi-experimental designs? What makes a quasi-experimental study different than a “real” experiment? Ever wondered about the difference between regression discontinuity, dif...
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1.9. When Epidemiologists and Variables Collide: with Elizabeth Rose Mayeda from 2020-11-15T05:00:38
In most introductory epidemiology courses, students are taught about three categories of bias: confounding, information bias, and selection bias. On this episode of the podcast, we talk to Dr. Eliz...
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1.8. The Discipline Olympics: Epidemiology vs. Public Health with Dr. Laura Rosella from 2020-11-01T05:00:05
Given the COVID-19 pandemic there is an urgent need for us to better understand how scientific evidence generated in epidemiologic research gets translated into information that can be used to crea...
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1.7. The Bread and Butter of Bayes with Ghassan Hamra from 2020-10-15T08:00:59
In this episode we interview Dr. Ghassan Hamra and talk about all things Bayesian. If you’re like us, you have likely been trained in traditional, frequentist approaches to statistics and have alwa...
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1.6. Questioning the Questions with Maria Glymour from 2020-10-01T08:00:06
Why is it so important to ask good study questions? Why is it so hard to develop good study questions? Do all study questions need to be directly relevant for public health policy? In this episode...
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1.5. Putting the Social Back in Social Epidemiology with Dr. Whitney Robinson from 2020-09-15T08:00:44
Is all epidemiology social epidemiology? If I am someone who studies cancer, or obesity, or infectious disease, or any other branch of epidemiology, should I be considering topics related to social...
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1.4. Statisticalize your intervention soup: A journal club episode discussing Hernan and Taubman’s “Does obesity shorten life?” from 2020-09-01T06:00:19
In this journal club episode, we discuss one of our top 10 favourite epidemiology papers: “Does obesity shorten life? The importance of well-defined interventions to answer causal questions” by Mig...
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1.3. The Countercultural Counterfactual Episode with Dr. Daniel Westreich from 2020-08-17T14:09:26
Causal inference and the potential outcomes model are now both commonly taught in graduate programs in epidemiology. However, I think we can all agree that counterfactual thinking can be a bit mind...
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Bonus Episode 1.2.5: “Making Causal Inference More Social and (Social) Epidemiology More Causal” with Dr. Onyebuchi Arah and Dr. John W. Jackson from 2020-08-03T16:38:12
At SER 2019, the Cassel lecture was delivered by Miguel Hernán and Sandro Galea on the topic of reconciling social epidemiology and causal inference. Their talk was turned into a paper in the Amer...
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1.2. The Time is Not on Your Side Episode with Dr. Ellie Murray from 2020-07-15T14:31:18
Have you ever wondered why it is so important to consider the concept of time in epidemiologic analyses? And, more importantly, what strategies exist to appropriately account for time and time-vary...
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1.1. SERious EPI–Introduction from 2020-06-26T16:16:49
Do you want to know more about novel methods in epidemiology but don’t have the time read a bunch of papers on the topic? Do you want to keep current on the latest developments but can’t go back to...
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