A method for estimating the age-specific relative risk of HIV infection from AIDS incidence data

Niels G. Becker*, Ian C. Marschner

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

60 Citations (Scopus)

Abstract

SUMMARY: Using a multiplicative model, the age-specific relative risk of infection with the human immunodeficiency virus, HIV, and the time-dependent HIV infection rate can be estimated simultaneously from acquired immunodeficiency syndrome, AIDS, incidence data. Non-parametric estimates are arrived at by an EM-algorithm, with smoothing, applied to a back-projection model. The method gives estimates which lie on a smooth curve in accordance with strong prior expectations. The approach is illustrated with an application to Australian AIDS data. It is found that the HIV infection rate tends to be estimated more precisely when age is included as a covariate.

Original languageEnglish
Pages (from-to)165-178
Number of pages14
JournalBiometrika
Volume80
Issue number1
DOIs
Publication statusPublished - Mar 1993
Externally publishedYes

Keywords

  • AIDS counts
  • Back-projection
  • Bootstrap
  • EM-algorithm
  • Human immunodeficiency virus

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