Another name for Neyman's bias is Prevalence-incidence bias. Describe it.
It is a form of selection bias in case-control studies attributed to selective survival among the prevalent cases. For example, if cases with coronary artery disease die rapidly, persons available for study are not more severe cases. The association between serum cholesterol (high vs. low) and coronary artery disease will be underestimated.