Fitting a multiplicative incidence model to age- and time-specific prevalence data

Ian C. Marschner*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

11 Citations (Scopus)

Abstract

We discuss the assessment of age- and time-specific disease incidence rising prevalence data. A method is described for conveniently fitting a discrete-time multiplicative model, subject to positivity constraints, using the EM-algorithm. Together with smoothing, it allows essentially nonparametric assessment of incidence trends. The method is illustrated using previously analyzed data on toxoplasmosis.

Original languageEnglish
Pages (from-to)492-499
Number of pages8
JournalBiometrics
Volume52
Issue number2
DOIs
Publication statusPublished - Jun 1996
Externally publishedYes

Keywords

  • Cross-sectional data
  • EM-algorithm
  • Incidence and prevalence
  • Multiplicative age time models
  • Smoothing
  • Toxoplasmosis

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