Can We Improve the Statistical Analysis of Stroke Trials? | Zendy

Philip M. Bath | Zendy; Laura J. Gray | Zendy; Timothy Collier | Zendy; Stuart J. Pocock | Zendy; James R. Carpenter | Zendy

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Can We Improve the Statistical Analysis of Stroke Trials?

Author(s) -

Philip M. Bath,

Laura J. Gray,

Timothy Collier,

Stuart J. Pocock,

James R. Carpenter

Publication year - 2007

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.106.474080

Subject(s) - medicine , modified rankin scale , stroke (engine) , logistic regression , clinical trial , covariate , bootstrapping (finance) , physical therapy , ordered logit , test (biology) , statistics , econometrics , ischemic stroke , mathematics , mechanical engineering , paleontology , ischemia , engineering , biology

Most large acute stroke trials have been neutral. Functional outcome is usually analyzed using a yes or no answer, eg, death or dependency versus independence. We assessed which statistical approaches are most efficient in analyzing outcomes from stroke trials.

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