DifferentialmisclassificationTypeII errorGhost ofrandomerrorExternalvalidityReportingbiasWitchyp-valueUnderestimationAccuracyInterviewerbiasSelectionbiasNon-differentialmisclassificationAlternativehypothesisValidityNullhypothesisConfidenceintervalMisclassificationSystematicerrorRandomerrorRandomizationSelectionbiasInternalvalidityDetectionbiasRandomizationPowerOverestimationSpookysignificanceFalsepositiveHypothesistestingPotionof biasPhantomconfounderRecallbiasSamplingerrorP-valueConfidenceintervalExternalvalidityBlindingPublicationbiasMeasurementerrorConfoundingTypeI errorRecallbiasConfoundingObserverbiasSamplingerrorNon-differentialmisclassificationInformationbiasP-valueInformationbiasHealthyworkereffectReliabilitySystematicerrorPrecisionMeasurementerrorCursedcontrolgroupTypeII errorAttritionbiasBiologicalvariationAttritionbiasLoss tofollow-upPublicationbiasEstimationFalsenegativePrecisionRandomerrorDifferentialmisclassificationTypeI errorInternalvalidityAccuracyReportingbiasObserverbiasMisclassificationHauntedsamplesizeBlindingDifferentialmisclassificationTypeII errorGhost ofrandomerrorExternalvalidityReportingbiasWitchyp-valueUnderestimationAccuracyInterviewerbiasSelectionbiasNon-differentialmisclassificationAlternativehypothesisValidityNullhypothesisConfidenceintervalMisclassificationSystematicerrorRandomerrorRandomizationSelectionbiasInternalvalidityDetectionbiasRandomizationPowerOverestimationSpookysignificanceFalsepositiveHypothesistestingPotionof biasPhantomconfounderRecallbiasSamplingerrorP-valueConfidenceintervalExternalvalidityBlindingPublicationbiasMeasurementerrorConfoundingTypeI errorRecallbiasConfoundingObserverbiasSamplingerrorNon-differentialmisclassificationInformationbiasP-valueInformationbiasHealthyworkereffectReliabilitySystematicerrorPrecisionMeasurementerrorCursedcontrolgroupTypeII errorAttritionbiasBiologicalvariationAttritionbiasLoss tofollow-upPublicationbiasEstimationFalsenegativePrecisionRandomerrorDifferentialmisclassificationTypeI errorInternalvalidityAccuracyReportingbiasObserverbiasMisclassificationHauntedsamplesizeBlinding

Haunted by Bias: Epidemiology Bingo - Call List

(Print) Use this randomly generated list as your call list when playing the game. There is no need to say the BINGO column name. Place some kind of mark (like an X, a checkmark, a dot, tally mark, etc) on each cell as you announce it, to keep track. You can also cut out each item, place them in a bag and pull words from the bag.


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  1. Differential misclassification
  2. Type II error
  3. Ghost of random error
  4. External validity
  5. Reporting bias
  6. Witchy p-value
  7. Underestimation
  8. Accuracy
  9. Interviewer bias
  10. Selection bias
  11. Non-differential misclassification
  12. Alternative hypothesis
  13. Validity
  14. Null hypothesis
  15. Confidence interval
  16. Misclassification
  17. Systematic error
  18. Random error
  19. Randomization
  20. Selection bias
  21. Internal validity
  22. Detection bias
  23. Randomization
  24. Power
  25. Overestimation
  26. Spooky significance
  27. False positive
  28. Hypothesis testing
  29. Potion of bias
  30. Phantom confounder
  31. Recall bias
  32. Sampling error
  33. P-value
  34. Confidence interval
  35. External validity
  36. Blinding
  37. Publication bias
  38. Measurement error
  39. Confounding
  40. Type I error
  41. Recall bias
  42. Confounding
  43. Observer bias
  44. Sampling error
  45. Non-differential misclassification
  46. Information bias
  47. P-value
  48. Information bias
  49. Healthy worker effect
  50. Reliability
  51. Systematic error
  52. Precision
  53. Measurement error
  54. Cursed control group
  55. Type II error
  56. Attrition bias
  57. Biological variation
  58. Attrition bias
  59. Loss to follow-up
  60. Publication bias
  61. Estimation
  62. False negative
  63. Precision
  64. Random error
  65. Differential misclassification
  66. Type I error
  67. Internal validity
  68. Accuracy
  69. Reporting bias
  70. Observer bias
  71. Misclassification
  72. Haunted sample size
  73. Blinding