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SERious EPI

by Sue Bevan - Society for Epidemiologic Research

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Latest episodes

  • S5E10: What We Learned, What We Got Wrong, and What Comes Next

    October 15, 2026 · 36 min

    In this season finale, Matt and Hailey reflect on what they learned, and are still wrestling with, after working through Part I of Causal Inference: What If. They discuss how revisiting familiar concepts can reveal new layers of nuance…

  • S5E9: Random Error Is the Easy Part

    September 15, 2026 · 58 min

    In this episode of SERious Epidemiology, Hailey and Matt are joined by Lucy D’Agostino McGowan to discuss Chapter 10 of Causal Inference: What If? and the problem of random variability. This episode explores the distinction between random…

  • S5E8: Selection Bias: Colliders, Censoring, and Confusion

    August 12, 2026 · 50 min

    In this episode of SERious Epidemiology, Hailey and Matt are joined by Dr. Louisa Smith to discuss Chapter 8 of Causal Inference: What If on selection bias. The conversation explores how selection bias can arise through conditioning on a…

  • S5E7: Exchangeability, Positivity, Consistency… and Measurement?

    July 15, 2026 · 49 min

    In this episode, we talk with Dr. Alexis Reeves about Chapter 9 of Causal Inference: What If, focusing on measurement bias (the bias formerly known as information bias). Measurement bias arises when exposures, outcomes, confounders, or…

  • S5E6: Confounding is the Marcia Brady of Epidemiology

    June 15, 2026 · 49 min

    “Confounding, Confounding, Confounding” is like the epidemiologist’s version of “Marcia, Marcia, Marcia” from the Brady Bunch. To discuss Chapter 7 of Causal Inference: What If, we welcome Dr. Ashley Naimi. In this chapter, we discuss…

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  • S5E5: Causal Pies, Pizza Toppings, and Interaction

    May 15, 2026 · 44 min

    In this episode of SERious Epidemiology, Hailey and Matt welcome guest host Dr. John Jackson to discuss Chapter 5 of Causal Inference: What If? This chapter focuses on explaining the concept of interaction. Together, they unpack the…

  • S5E4: Mind the Modifier: When Causal Effects Refuse to Be Average

    April 15, 2026 · 56 min

    Hailey and Matt are joined by guest co-host Dr. Mabel Carabali to discuss Chapter 4 (Effect Modification) from Causal Inference: What If. We start off our discussion about heterogeneity of treatment effects, emphasizing that there is often…

  • S5E3: From Cashew Nuts to Counterfactuals

    March 15, 2026 · 56 min

    In this episode of SERious Epidemiology, Matt and Hailey welcome guest Dr. Peter Tennant to discuss chapters 2 and 3 of Causal Inference: What If. After learning about Peter’s late‑discovered love of cashew nuts despite past nut allergies…

  • S5E2: Setting the table for Season 5

    February 15, 2026 · 51 min

    Welcome back to SERious Epidemiology! This is the first official episode of the fifth season of SERious Epidemiology. This season we’ll be discussing the textbook Causal Inference: What If. Chapter 1 discusses foundational concepts of…

  • S5E1: A Casual Conversation with Miguel Hernán

    January 15, 2026 · 31 min

    Welcome back to SERious Epidemiology! This episode sets the stage for the fifth season of our podcast. We are excited to announce that Season 5 will be focused on the textbook Causal Inference: What If by Miguel Hernan and James Robins. In…

  • S4E13: Agent Based Models

    August 15, 2025 · 50 min

    In an episode recorded before the US presidential elections (somehow) Matt and Hailey end season 4 with a discussion of agent based models, following on from our previous conversation with Dr. Brandon Marshall on the topic. This was…

  • S4E12: Agent Based Models with Dr. Brandon Marshall

    July 15, 2025 · 1 hr 1 min

    In this episode, we discuss Agent Based Models with Dr. Brandon Marshall of the Brown School of Public Health. We talk about what these models are and why they are so useful in epidemiology. We discuss the challenges with these models and…

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About the show

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.