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PSM · Epidemiology: Neyman bias
Sample itemA case-control study of acute myocardial infarction recruits cases from survivors admitted to a cardiac unit several months after the event. People who die soon after an infarct cannot be included, so a risk factor that makes the first attack rapidly fatal is under-represented among the cases. Which bias is this?
Original practice item, not a recalled exam question. Nothing here is recorded.
The answer and the reasoning
A. Neyman (prevalence-incidence) bias
Neyman bias arises when prevalent cases, surviving for some time, are studied instead of incident cases. Factors that cause early death or recovery are then missing among the cases, and the association with the exposure is distorted.
Option by option
A. Neyman (prevalence-incidence) bias (correct)
Correct. Studying surviving prevalent cases instead of newly occurring cases causes Neyman bias.
B. Recall bias
Recall bias arises when cases remember past exposures differently from controls, which the stem does not describe.
C. Lead-time bias
Lead-time bias is the apparent lengthening of survival caused by earlier diagnosis in screening.
D. Berkson bias
Berkson bias arises when hospital admission rates differ between exposed and unexposed people, not from loss of rapidly fatal cases.
Source note: Original NextPrep sample item — pending expert review. This item is original practice material awaiting independent expert review, so confirm important facts in a standard textbook.
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