Application of Beta Regression to Analyze Ischemic Stroke Volume in NINDS rt-PA Clinical Trials | Zendy

Christopher J. Swearingen | Zendy; Barbara C. Tilley | Zendy; Robert J. Adams | Zendy; Zoran Rumboldt | Zendy; Joyce S. Nicholas | Zendy; Dipankar Bandyopadhyay | Zendy; Robert F. Woolson | Zendy

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Application of Beta Regression to Analyze Ischemic Stroke Volume in NINDS rt-PA Clinical Trials

Author(s) -

Christopher J. Swearingen,

Barbara C. Tilley,

Robert J. Adams,

Zoran Rumboldt,

Joyce S. Nicholas,

Dipankar Bandyopadhyay,

Robert F. Woolson

Publication year - 2011

Publication title -

neuroepidemiology

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.217

H-Index - 87

eISSN - 1423-0208

pISSN - 0251-5350

DOI - 10.1159/000330375

Subject(s) - medicine , stroke (engine) , lesion , regression analysis , linear regression , covariate , regression , odds ratio , clinical trial , cardiology , statistics , surgery , mathematics , mechanical engineering , engineering

Ischemic stroke lesion volumes have proven difficult to analyze due to the extremely skewed shape of their underlying distribution. We introduce an extension of generalized linear models, beta regression, as a possible method of modeling extremely skewed distributions as evidenced in ischemic stroke lesion volumes.

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