Episodes: 72
Frequency: Monthly
Rating: 4.9/5.0
Estimated listeners: 1,000 - 10,000
Gender skew: Neutral
Listener location: USA
Instagram: 204 followers
Publicly listed emails
sbevan@epiresearch.org
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Hailey Banack - Co-host of SERious EPI, interviewing leading researchers about epidemiologic methods and causal inference.
Matt Fox - Co-host of SERious EPI, interviewing leading researchers about epidemiologic methods and causal inference.
Lucy DAgostino McGowan - Random Error, Systematic Bias, Confidence Intervals, Standard Errors, Sample Size, Replication, Matching, Weighting, Baseline Adjustment, And Statistical Significance.
Louisa Smith - Selection Bias, Colliders, Confounding, Censoring, Loss To Follow-up, Generalizability, Competing Events, Target Populations, And Inverse Probability Weighting.
Alexis Reeves - Measurement Bias, Differential And Nondifferential Measurement Error, Variable Measurement, Directed Acyclic Graphs, Causal Identification, And Residual Bias.
Ashley Naimi - Confounding, Exchangeability, Faithfulness, Causal Effects, Observational Data, And The Use Of Directed Acyclic Graphs To Understand Bias.
John Jackson - Causal Interaction, Effect Measure Modification, Factorial Trials, Risk Stratification, Directed Acyclic Graphs, Confounding Control, Causal Pies, Synergism, And Antagonism.
S5E10: What We Learned, What We Got Wrong, and What Comes Next
October 15, 2026
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, why the current enthusiasm for target trial emulation shouldn’t be mistaken for a shortcut to causal inference, and the importance of recognizing when the available data or scientific question simply doesn’t support a target trial. The conversation turns to th...
S5E9: Random Error Is the Easy Part
September 15, 2026
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 error and systematic bias, what confidence intervals and standard errors actually tell us, and why increasing sample size can improve precision without making a biased estimate any closer to the truth. Lucy offers a statistician’s perspective on why random e...
S5E8: Selection Bias: Colliders, Censoring, and Confusion
August 12, 2026
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 collider, how it differs from confounding, and how loss to follow-up and censoring can introduce bias even in randomized trials. A major theme of this episode is the relationship between selection bias and confounding. We also discuss generalizability, target...
Causes or Cures · Medium booking difficulty · 1,000 - 10,000 listeners
Public Health Epidemiology Conversations · Medium booking difficulty · 1,000 - 10,000 listeners
SERious EPI is hosted by Hailey Banack and Matt Fox. Its publicly listed email is sbevan@epiresearch.org. For guest bookings, the host or producer is usually the best person to reach. Podseeker helps you find direct host and producer contacts and pitch from your own inbox.
The publicly listed email for SERious EPI: sbevan@epiresearch.org.
Podseeker estimates SERious EPI reaches 1,000 to 10,000 listeners per episode. Only the publisher has exact numbers.
SERious EPI typically books industry leaders. Typical guest background: Academic epidemiologists, biostatisticians, causal inference researchers, and public-health methodologists with specialized expertise in epidemiologic methods and relevant research experience. Common among recent guests: Published research in epidemiology, biostatistics, or causal inference; Recognized expertise in a specialized epidemiologic method; Advanced academic or research contributions in public health methodology. Recent guests include Lucy DAgostino McGowan, Louisa Smith, and Alexis Reeves.
High. It mostly books established leaders in its field.
Recent episodes cover Health, Epidemiology, Causal Inference, Biostatistics, and Public Health. Pitch an idea tied to one of these topics and mention a recent episode.
Publicly listed emails
sbevan@epiresearch.org
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