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SERious EPI

Sue Bevan - Society for Epidemiologic Research

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.

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Episodes

72 episodes

  1. S5E10: What We Learned, What We Got Wrong, and What Comes Next 35:39
  2. S5E9: Random Error Is the Easy Part 57:32
  3. S5E8: Selection Bias: Colliders, Censoring, and Confusion 49:36
  4. S5E7: Exchangeability, Positivity, Consistency… and Measurement? 48:36
  5. S5E6: Confounding is the Marcia Brady of Epidemiology 49:08
  6. S5E5: Causal Pies, Pizza Toppings, and Interaction 44:01
  7. S5E4: Mind the Modifier: When Causal Effects Refuse to Be Average 55:33
  8. S5E3: From Cashew Nuts to Counterfactuals 55:33
  9. S5E2: Setting the table for Season 5 51:17
  10. S5E1: A Casual Conversation with Miguel Hernán 31:26
  11. S4E13: Agent Based Models 50:25
  12. S4E12: Agent Based Models with Dr. Brandon Marshall 1:00:41
  13. S4E11: Quantitative Bias Analysis 47:42
  14. S4E10: Quantitative Bias Analysis with Dr. Tim Lash 58:55
  15. S4E9: Regression Discontinuity and Difference in Difference(s?) 52:16
  16. S4E8: Regression Discontinuity and Difference-in-Differences with Dr. Usama Bilal 55:38
  17. S4E7: Instrumental Variables 49:29
  18. S4E6: Instrumental Variables with Dr. Rita Hamad 55:33
  19. S4E5: Mediation Continuation 52:24
  20. S4E4: Mediation with Kara Rudolph and Ivan Diaz 58:35
  21. S4E3: How do we define efficiency? 53:00
  22. S4E2: Study Efficiency with Robert Platt 51:56
  23. S4E1: We’re Baaaaack… A Season 4 Preview 36:15
  24. S3E12: Start with the questions that are easy to answer and then move on to the more challenging questions 41:11
  25. S3E11: You say tomato, I say tom-ah-to: a (somewhat) head-spinning discussion about interaction analyses 47:17
  26. S3E10: Time-varying everything everywhere all at once 48:05
  27. S3E9: Feedback loops? Feedback spirals? Disentangling what we know about time-varying exposures. 40:22
  28. S3E8: Maybe censoring is the least of your worries? 42:57
  29. S3E7: Are time to event analyses the Space Mountain of epidemiology? 48:26
  30. S3E6: Stratification with Rich MacLehose: Should you have Bert or Ernie pick you up from surgery? 47:30
  31. S3E5: Should I memorize the Mantel Haenszel formula? 41:49
  32. S3E4. Selecting people or selecting data: exploring different aspects of selection bias 41:51
  33. S3E3. How do we deal with the people who never made it into our study? 37:51
  34. S3E2: Should we try to ensure misclassification is non-differential? Discussing measurement error with Dr. Patrick Bradshaw 43:31
  35. S3E1: Are we measuring what we think we’re measuring? 41:44
  36. S2E16: There’s a 95% probability you’ll enjoy learning about sample size and precision with Dr. Jon Huang 56:12
  37. S2E15: As random as it gets 43:24
  38. S2E14: Confounding will never go away – with Maya Mathur 50:14
  39. S2E13: Confounding: Ten thousand arrows going into a bunch of squiggly things 49:05
  40. S2E12: How great are case-control studies with Ellie Matthay 52:16
  41. S2E11: Case Control Studies 44:20
  42. S2E10: The Return of the Cohort Studies 53:30
  43. S2E9: The Cohort Studies Brouhaha 47:57
  44. S2E8: Measures of Effect with Katie Lesko 58:14
  45. S2E7: The donut episode: Measures of association 53:11
  46. S2E6: Chapter 4 – The building blocks of epi with Dr. Liz Stuart 47:04
  47. S2E5: Chapter 4 – The great open vs closed population debate 53:34
  48. S2E4: More on causal inference with Dr. Jay Kaufman 50:19
  49. S2E3. More on causal inference and scientific reasoning 45:17
  50. S2E2: A discussion on causal inference and scientific reasoning