Statistical models for prevalent cohort data

M. C. Wang, R. Brookmeyer, N. P. Jewell

Research output: Contribution to journalArticle

Abstract

In prospective cohort studies individuals are sometimes recruited according to a certain cross-sectional sampling criterion. A prevalent cohort is defined as a group of individuals who have a certain disease at enrollment into the study. Statistical models for the analysis of prevalent cohort data are considered when the onset or diagnosis time of the disease is known. The incident proportional hazards model, where the time scale is duration with disease, is compared to the prevalent proportional hazards model, where the fundamental time scale is follow-up time. In certain cases the time of enrollment may coincide with another event (such as the initiation of treatment). This situation is also considered and its limitations highlighted. To illustrate the methodological ideas discussed in the paper, the analysis of data from an observational study of zidovudine (ZVD) in patients with the acquired immunodeficiency syndrome (AIDS) is presented.

Original languageEnglish (US)
Pages (from-to)1-11
Number of pages11
JournalBiometrics
Volume49
Issue number1
DOIs
StatePublished - Jan 1 1993

Keywords

  • AIDS
  • Cross-sectional sampling
  • Failure time
  • Prevalent cohort
  • Truncation

ASJC Scopus subject areas

  • Statistics and Probability
  • Biochemistry, Genetics and Molecular Biology(all)
  • Immunology and Microbiology(all)
  • Agricultural and Biological Sciences(all)
  • Applied Mathematics

Fingerprint Dive into the research topics of 'Statistical models for prevalent cohort data'. Together they form a unique fingerprint.

  • Cite this