Parametric modeling of stroke recurrence

M. A. Foulkes, R. L. Sacco, J. P. Mohr, D. B. Hier, T. R. Price, P. A. Wolf

Research output: Contribution to journalArticlepeer-review

5 Scopus citations

Abstract

Stroke recurrence has been investigated primarily with respect to prognostic factors predictive of recurrence. Several parametric functions are considered in modeling the distribution of ischemic stroke recurrences recorded within the Stroke Data Bank. A linear hazard function is shown to be the best-fitting function among those considered. This method of parametric modeling may lead to a more informed approach to treatment of ischemic stroke and secondary prevention and may enhance future investigations of prognostic factors as well.

Original languageEnglish (US)
Pages (from-to)19-27
Number of pages9
JournalNeuroepidemiology
Volume13
Issue number1-2
DOIs
StatePublished - 1994
Externally publishedYes

Keywords

  • Ischemic stroke
  • Mathematical modeling
  • Recurrence

ASJC Scopus subject areas

  • Epidemiology
  • Clinical Neurology

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