Parametric Modeling of Stroke Recurrence

Author

M. A. Foulkes
R. L. Sacco
J. P. Mohr
D. B. Hier, Missouri University of Science and TechnologyFollow
T. R. Price
P. A. Wolf

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. © 1994 S. Karger AG, Basel.

Recommended Citation

M. A. Foulkes et al., "Parametric Modeling of Stroke Recurrence," Neuroepidemiology, vol. 13, no. 1 thru 2, pp. 19 - 27, Karger Publishers, Jan 1994.

The definitive version is available at https://doi.org/10.1159/000110354

Department(s)

Chemistry

Comments

National Institute of Neurological Disorders and Stroke, Grant N01NS022302

Keywords and Phrases

Ischemic stroke; Mathematical modeling; Recurrence

International Standard Serial Number (ISSN)

1423-0208; 0251-5350

Document Type

Article - Journal

Document Version

Citation

File Type

text

Language(s)

English

Rights

© 2023 Karger Publishers, All rights reserved.

Publication Date

01 Jan 1994

PubMed ID

8190202