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Ascertainment Corrected Rates: Applications of Capture-Recapture Methods

McCARTY, DANIEL J, TULL, EUGENE S, MOY, CLAUDIA S, KWOH, C KENT, LAPORTE, RONALD E·1993·International Journal of Epidemiology

Abstract

Accurate rates, though fundamental to epidemiology, are often very difficult to obtain. Incidence, prevalence, and mortality rates have traditionally been established through either passive reporting surveillance systems, through active surveillance systems, or by a combination of the two methods. Typically, when researchers employ these approaches they do not formally evaluate or correct for the degree of underascertainment. Undercount of cases is a potent determinant of rates which we cannot continue to ignore. We believe all rates should be adjusted for underascertainment in order to achieve a truer picture of the risk and risk factors of disease. Here, we present a procedure to ascertainment correct rates based upon well established capture-recapture methods.

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Metadata

Authors
McCARTY, D. J., TULL, E. S., MOY, C. S., KWOH, C. K., & LAPORTE, R. E.
Venue
International Journal of Epidemiology
Published
1993
Volume
22
Issue
3
Pages
559-565
ISSN
  • 0300-5771 (ISSN-L)
  • 1464-3685
OpenAlex
W2103912881
Cited by
193
References
0
FWCI
13.43
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Ascertainment Corrected Rates: Applications of Capture-Recapture Methods. https://app.cochat.ai/papers/10.1093/ije/22.3.559
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McCARTY, D. J., TULL, E. S., MOY, C. S., KWOH, C. K., & LAPORTE, R. E. (1993). Ascertainment Corrected Rates: Applications of Capture-Recapture Methods. International Journal of Epidemiology. https://doi.org/10.1093/ije/22.3.559

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.