PARAMETRIC MODELING OF STROKE RECURRENCE

被引：7

作者：

FOULKES, MA

SACCO, RL

MOHR, JP

HIER, DB

PRICE, TR

WOLFE, PA

机构：

[1] NINCDS,BETHESDA,MD 20892

[2] COLUMBIA PRESBYTERIAN MED CTR,INST NEUROL,NEW YORK,NY 10032

[3] UNIV ILLINOIS,MED CTR,DEPT NEUROL,CHICAGO,IL

[4] UNIV MARYLAND,SCH MED,DEPT NEUROL,BALTIMORE,MD 21201

[5] BOSTON UNIV,MED CTR,DEPT NEUROL,BOSTON,MA

来源：

NEUROEPIDEMIOLOGY | 1994年 / 13卷 / 1-2期

关键词：

ISCHEMIC STROKE; RECURRENCE; MATHEMATICAL MODELING;

D O I：

10.1159/000110354

中图分类号：

R1 [预防医学、卫生学];

学科分类号：

1004 [公共卫生与预防医学]; 120402 [社会医学与卫生事业管理];

摘要：

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.

引用

页码：19 / 27

页数：9

共 10 条

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DIABETES AND THE RISK OF STROKE - THE HONOLULU-HEART-PROGRAM [J].