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Titolo:
Two approaches for estimating disease prevalence from population-based registries of incidence and total mortality
Autore:
Gail, MH; Kessler, L; Midthune, D; Scoppa, S;
Indirizzi:
NCI, Div Canc Epidemiol & Genet, Bethesda, MD 20892 USA NCI Bethesda MD USA 20892 Canc Epidemiol & Genet, Bethesda, MD 20892 USA US FDA, Rockville, MD 20855 USA US FDA Rockville MD USA 20855US FDA, Rockville, MD 20855 USA NCI, Div Canc Prevent, Bethesda, MD 20892 USA NCI Bethesda MD USA 20892NCI, Div Canc Prevent, Bethesda, MD 20892 USA Informat Management Serv, Silver Spring, MD 20904 USA Informat Management Serv Silver Spring MD USA 20904 Spring, MD 20904 USA
Titolo Testata:
BIOMETRICS
fascicolo: 4, volume: 55, anno: 1999,
pagine: 1137 - 1144
SICI:
0006-341X(199912)55:4<1137:TAFEDP>2.0.ZU;2-3
Fonte:
ISI
Lingua:
ENG
Soggetto:
CANCER;
Keywords:
bias of prevalence estimate; cancer registry; chronic disease prevalence; Lexis diagram; precision of prevalence estimate; prevalence estimation;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Agriculture,Biology & Environmental Sciences
Life Sciences
Citazioni:
13
Recensione:
Indirizzi per estratti:
Indirizzo: Gail, MH NCI, Div Canc Epidemiol & Genet, Execut Plaza S,Room 8032,6120 Execut Blvd,MSC 724, Bethesda, MD 20892 USA NCI Execut Plaza S,Room 8032,6120Execut Blvd,MSC 724 Bethesda MD USA 20892
Citazione:
M.H. Gail et al., "Two approaches for estimating disease prevalence from population-based registries of incidence and total mortality", BIOMETRICS, 55(4), 1999, pp. 1137-1144

Abstract

Two approaches are described for estimating the prevalence of a disease that may have developed in a previous restricted age interval among persons of a given age at a particular calendar time. The prevalence for all those who ever developed disease is treated as a special case. The counting method(CM) obtains estimates of prevalence by dividing the estimated number of diseased persons by the total population size, taking loss to follow-up intoaccount. The transition rate method (TRM) uses estimates of transition rates and competing risk calculations to estimate prevalence. Variance calculations are described for CM and TRM as well as for a variant of CM, called counting method times 10 (CM10), that is designed to yield more precise estimates than Chi. We compare these three estimators in terms of precision andin terms of the underlying assumptions required to justify the methods. CMmakes fewer assumptions but is typically less precise than TRM or CM10. For common diseases such as breast cancer, CM may be preferred because its precision is excellent even though not as high as for TRM or CM10. For less common diseases, such as brain cancer, however, TRM or CM10 and other methods that make stabilizing assumptions may be preferred to CM.

ASDD Area Sistemi Dipartimentali e Documentali, Università di Bologna, Catalogo delle riviste ed altri periodici
Documento generato il 28/11/20 alle ore 04:39:09