SAGE Journals Online
Advertisement
Sign In to gain access to subscriptions and/or personal tools.

 

Advanced Search

Journal Navigation

Journal Home

Subscriptions

Archive

Contact Us

Table of Contents

Advertisement

Sign In to gain access to subscriptions and/or personal tools.
Statistical Methods in Medical Research
This Article
Right arrow Full Text (PDF)
Right arrow References
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Right arrow Citation Map
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Add to Saved Citations
Right arrow Download to citation manager
Right arrowRequest Permissions
Right arrow Request Reprints
Right arrow Add to My Marked Citations
Citing Articles
Right arrow Citing Articles via Google Scholar
Right arrow Citing Articles via Scopus
Google Scholar
Right arrow Articles by De Angelis, D.
Right arrow Articles by McGee, M.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by De Angelis, D.
Right arrow Articles by McGee, M.
Right arrowPubmed/NCBI databases
Medline Plus Health Information
*AIDS
Social Bookmarking
 Add to CiteULike   Add to Complore   Add to Connotea   Add to Del.icio.us   Add to Digg   Add to Reddit   Add to Technorati   Add to Twitter  
What's this?

AIDS: the statistical basis for public health

D. De Angelis

Medical Research Council Biostatistics Unit, Cambridge, and PHLS AIDS Centre at CDSC, London

NE Day

Medical Research Council Biostatistics Unit, Cambridge

SM Gore

Medical Research Council Biostatistics Unit, Cambridge

WR Gilks

Medical Research Council Biostatistics Unit, Cambridge

MA McGee

Medical Research Council Biostatistics Unit, Cambridge

The backcalculation method has been extensively used in AIDS modelling and forecasting. Knowledge of reported AIDS cases, information on the time between HIV infection and onset of AIDS, and assumptions on the rate at which infections occurs, can be used to reconstruct the past history of the HIV epidemic, as well as to provide short term predictions of AIDS incidence. Uncertainty in the three components of the backcalculation method and the increasingly available information on HIV prevalence must be taken into account in order to provide realistic projections. In this paper we discuss ways of acknowledging uncertainty and suggest a Bayesian formulation of the backcalculation idea as a means of combining into a single model both random and systematic variation as well as prior information.

Statistical Methods in Medical Research, Vol. 2, No. 1, 75-91 (1993)
DOI: 10.1177/096228029300200105


Add to CiteULike CiteULike   Add to Complore Complore   Add to Connotea Connotea   Add to Del.icio.us Del.icio.us   Add to Digg Digg   Add to Reddit Reddit   Add to Technorati Technorati   Add to Twitter Twitter    What's this?




Advertisement