ABSTRACT

Preceding chapters in this book have presented the essential theory underlying quantitative epidemiology. In the main, the methodology developed has had the goals of identifying whether a putative risk factor is truly associated with the disease in question, or which of a set of candidate risk factors have such an association, and determining the magnitude of such associations. In this chapter we shall consider how epidemiological data might be used to produce clinical algorithms to determine just who should be considered eligible for intervention aimed at preventing future disease events.