Application of beta regression to analyze ischemic stroke volume in NINDS rt-PA clinical trials.

ABSTRACT:

Background and purpose

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.

Methods

The NINDS rt-PA clinical trials measured ischemic stroke lesion volume as a secondary trial outcome. Three-month lesion volumes from these trials were analyzed using beta regression. A multi-variable regression model associating explanatory variables with ischemic stroke lesion volumes was constructed using accepted model building strategies and compared with the previously published volumetric analysis.

Results

Beta regressio

SUBMITTER: Swearingen CJ 

PROVIDER: S-EPMC3186717 | biostudies-literature | 2011

REPOSITORIES: biostudies-literature