Rob van Hest Capture-recapture Methods in Surveillance - RePub ...
Rob van Hest Capture-recapture Methods in Surveillance - RePub ...
Rob van Hest Capture-recapture Methods in Surveillance - RePub ...
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Methodology of capture-<strong>recapture</strong> analysis<br />
m<strong>in</strong>imise violation of the closed population assumption. Violation of the homogeneity<br />
assumption can be handled by stratification of the population <strong>in</strong>to more homogeneous<br />
strata, perform capture-<strong>recapture</strong> analysis for each of the dist<strong>in</strong>ct subgroups and<br />
subsequently add the results for the total estimate An alternative is to <strong>in</strong>clude covariates<br />
with a strong relationship to the probability of capture <strong>in</strong> a log-l<strong>in</strong>ear covariate capture<strong>recapture</strong><br />
model. 15,16 A third approach, if possible, is to model the heterogeneity, e.g. with<br />
logistic regression. 17,18 Violation of the <strong>in</strong>dependency assumption can be partially<br />
identified and controlled when more than two sources are l<strong>in</strong>ked, allow<strong>in</strong>g for sources to<br />
be exam<strong>in</strong>ed pair-wise, i.e. two at a time. 5 In the absence of source dependence the<br />
possible pair-wise capture-<strong>recapture</strong> estimates of the total number of cases should be<br />
reasonably similar. Positive dependence between two of the lists can be suspected when a<br />
pair-wise estimate is considerably lower than the other pair-wise estimates. In the threesource<br />
capture-<strong>recapture</strong> approach accord<strong>in</strong>g to Fienberg, pair-wise dependencies can be<br />
<strong>in</strong>corporated <strong>in</strong> the log-l<strong>in</strong>ear model as <strong>in</strong>teractions. In case of three sources, three-way<br />
<strong>in</strong>teraction, i.e. dependence between all three registers, is assumed to be zero, or, <strong>in</strong> case<br />
of multiple sources, highest-order <strong>in</strong>teraction, i.e. dependence between all sources, is<br />
assumed to be zero. When <strong>in</strong>teractions are <strong>in</strong>corporated <strong>in</strong> the log-l<strong>in</strong>ear model, especially<br />
when all <strong>in</strong>teractions are <strong>in</strong>corporated <strong>in</strong> a so-called ‘saturated’ model, with no degrees of<br />
freedom –df’s– left, three-way <strong>in</strong>teraction cannot be excluded and the assumption that<br />
this <strong>in</strong>teraction is zero has been called an “act of faith”. 10,12 The positive predictive value<br />
can be <strong>in</strong>creased through an adequate and unambiguous case-def<strong>in</strong>ition, uniform for all<br />
sources, cross-validation through record-l<strong>in</strong>kage with other related data sources and<br />
identification and exclusion of false-positive cases. Exam<strong>in</strong>ation of a period of time before<br />
and after the study episode can correct for late registration<br />
2.1.3 The two-source capture-<strong>recapture</strong> model<br />
A two-source capture-<strong>recapture</strong> problem with registers A and B can be graphically<br />
presented as <strong>in</strong> table 2.1.<br />
Table 2.1 The two-source capture-<strong>recapture</strong> problem<br />
Register B<br />
Register A Not observed Observed Total register A<br />
Not observed nˆ 00<br />
n01 Observed n10 n11 NA Total register B NB The numbers of cases only on register A, only on register B, on both registers and on<br />
neither register, can be expressed as n10, n01, n11 and nˆ 00 respectively. The number of<br />
cases on register A, NA, is n10 + n11 and the number of cases on register B, NB, is n01 + n11. The total observed population on at least one register, the case-ascerta<strong>in</strong>ment, equals n10 +<br />
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