EconPapers    
Economics at your fingertips  
 

Estimating Acquired Immune Deficiency Syndrome Incidence Accounting for Reporting Delay

D. De Angelis and W. R. Gilks

Journal of the Royal Statistical Society Series A, 1994, vol. 157, issue 1, 31-40

Abstract: The number of acquired immune deficiency syndrome (AIDS) cases reported in England and Wales in the recent past seriously underestimates the number of recent AIDS diagnoses, because of substantial reporting delays. We examine two methods for estimating AIDS diagnoses, taking account of reporting delays. The first is a method based on conditional likelihood making minimal parametric assumptions, with confidence intervals assessed through bootstrapping. The second is a fully parametric Bayesian approach estimated by Gibbs sampling. We apply these methods to AIDS reports in England and Wales from July 1983 to December 1992, and we compare the results.

Date: 1994
References: Add references at CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
https://doi.org/10.2307/2983503

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:bla:jorssa:v:157:y:1994:i:1:p:31-40

Ordering information: This journal article can be ordered from
http://ordering.onli ... 1111/(ISSN)1467-985X

Access Statistics for this article

Journal of the Royal Statistical Society Series A is currently edited by A. Chevalier and L. Sharples

More articles in Journal of the Royal Statistical Society Series A from Royal Statistical Society Contact information at EDIRC.
Bibliographic data for series maintained by Wiley Content Delivery ().

 
Page updated 2025-03-19
Handle: RePEc:bla:jorssa:v:157:y:1994:i:1:p:31-40