Open AccessShould Stroke Trials Adjust Functional Outcome for Baseline Prognostic Factors?
Author(s) -
Laura J. Gray,
Philip M. Bath,
Timothy Collier
Publication year - 2009
Publication title -
stroke
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.397
H-Index - 319
eISSN - 1524-4628
pISSN - 0039-2499
DOI - 10.1161/strokeaha.108.519207
Subject(s) - medicine , interquartile range , sample size determination , logistic regression , stroke (engine) , clinical trial , statistical power , statistics , mechanical engineering , mathematics , engineering
Many stroke trials have provided neutral results. Suboptimal statistical analyses may be failing to detect effective interventions. Adjusting outcomes for baseline prognostic factors in the analysis may improve the efficiency of analysis of outcomes.
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