Multivariate estimation of cumulative incidence, prevalence, and morbidity time of a disease when death is likely

Yan Yan, Donald R. Hoover, Richard D Moore, Chengjie Xiong

Research output: Contribution to journalArticle

Abstract

Competing risk of death from other causes before developing the outcome of interest is a common phenomenon in clinical settings. In a previous article, we developed the "sandwiching method" as one approach to estimate disease incidence and morbidity time for populations at a high risk of death from other causes. In addition to its computational simplicity, the sandwiching method is also relatively assumption free. This article extends the original sandwiching method to incorporate patient characteristics into the estimation by using Cox's proportional hazards model. Data from the Johns Hopkins Hospital AIDS service were used to illustrate this extended method. The importance of estimates was discussed in the context of planning health care needs.

Original languageEnglish (US)
Pages (from-to)546-552
Number of pages7
JournalJournal of Clinical Epidemiology
Volume56
Issue number6
DOIs
StatePublished - Jun 1 2003

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Morbidity
Incidence
Cause of Death
Proportional Hazards Models
Acquired Immunodeficiency Syndrome
Delivery of Health Care
Population

Keywords

  • Cohort prevalence
  • Competing risks
  • Cumulative incidence
  • Morbidity time
  • Proportional hazards

ASJC Scopus subject areas

  • Medicine(all)
  • Public Health, Environmental and Occupational Health
  • Epidemiology

Cite this

Multivariate estimation of cumulative incidence, prevalence, and morbidity time of a disease when death is likely. / Yan, Yan; Hoover, Donald R.; Moore, Richard D; Xiong, Chengjie.

In: Journal of Clinical Epidemiology, Vol. 56, No. 6, 01.06.2003, p. 546-552.

Research output: Contribution to journalArticle

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