Literature DB >> 1439362

Calculating the prevalence of cancer.

A J Coldman1, M L McBride, T Braun.   

Abstract

Incidence, prevalence and mortality are commonly used measures to assess the impact of disease on human populations. Prevalence, although regularly assessed for a number of different diseases, has only had recent use to measure the impact of cancer. The calculation of the prevalence of cancer presents several difficulties since there is no reporting mechanism established to measure the proportion of the community that has the disease. In the absence of such a mechanism, mortality data linked to incidence data from cancer registries have been used. The assumption is made that once diagnosed with cancer an individual remains a prevalent case until death. In this paper we present alternatives to this assumption and use them to produce estimates of cancer prevalence. We illustrate the effect of these assumptions on the calculated prevalence of cancer using data from the British Columbia Cancer Registry.

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Year:  1992        PMID: 1439362     DOI: 10.1002/sim.4780111205

Source DB:  PubMed          Journal:  Stat Med        ISSN: 0277-6715            Impact factor:   2.373


  2 in total

1.  Estimation and testing of the relative risk of disease in case-control studies with a set of k matched controls per case with known prevalence of disease.

Authors:  Barry Kurt Moser; Susan Halabi
Journal:  Stat Med       Date:  2011-12-09       Impact factor: 2.373

2.  [Prevalence of cancer in the Guadalajara health area].

Authors:  J M Alonso Gordo; A Bárcena Marugán; D Jiménez Del Val; J J Palacios Rojo; C Royo Sánchez; J Urbina Torija
Journal:  Aten Primaria       Date:  2003       Impact factor: 1.137

  2 in total

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