Recommendations for presentation and evaluation of capture-recapture estimates in epidemiology

We propose 15 recommendations for approaches to capture recapture analysis in epidemiology. We apply them to a report of such an analysis of a measles epidemic [McGilchrist et al., J Clinical Epidemiol 1996, 49: 293-296] and to comments thereon by R. C. Cormack [J Clinical Epidemiol 1999; 52: 909-91 4]. The latter challenged the utility of the data on the measles outbreak f or any reliable capture-recapture estimates. We suggest that, adopting the perspective of W. Edwards Deming, one can only make judgments as to the rel iability of capture-recapture data, methods, and derived estimates in the l ight of (i.e., conditional upon) their eventual intended use. Capture-recap ture approaches "unreliable" from one perspective may be "reliable," and/or more appropriately, "useful" from another. We consider the utility of anci llary and ad hoc information that may be available or worth seeking to supp lement a capture-recapture analysis. We use information within the study of McGilchrist et al, to illustrate how, with such ancillary information, one may overcome the main thrust of the objections of Cormack in situations in which one observes apparently anomalous or hard to understand data structu res. Making certain simple assumptions we regard as plausible, we estimate the number of affected in the measles epidemic as between about 700-1300. W e derive this from data on 502 cases in a Register, an ad hoc sample of 91 cases in one age group in the general population, and the report of 41 case s in both of these. Our result is only 15-30% the total implied by the esti mates McGilchrist et al. derived with more complex methods and many assumpt ions in addition to our own. We discuss various approaches to evaluating "r eliability" of our estimate conditional upon intended uses by policy makers . (C) 1999 Elsevier Science inc.