A tutorial in estimating the prevalence of disease in humans and animals in the absence of a gold standard diagnostic.
Emerg Themes Epidemiol
; 9(1): 9, 2012 Dec 28.
Article
en En
| MEDLINE
| ID: mdl-23270542
ABSTRACT
Epidemiological methods for estimating disease prevalence in humans and other animals in the absence of a gold standard diagnostic test are well established. Despite this, reporting apparent prevalence is still standard practice in public health studies and disease control programmes, even though apparent prevalence may differ greatly from the true prevalence of disease. Methods for estimating true prevalence are summarized and reviewed. A computing appendix is also provided which contains a brief guide in how to easily implement some of the methods presented using freely available software.
Texto completo:
1
Base de datos:
MEDLINE
Tipo de estudio:
Diagnostic_studies
/
Prevalence_studies
/
Risk_factors_studies
Idioma:
En
Revista:
Emerg Themes Epidemiol
Año:
2012
Tipo del documento:
Article