A Matching Algorithm to Address Imbalances in Study Populations | Zendy

Pitchaiah Mandava | Zendy; Yogeshwar Kalkonde | Zendy; Ryan H. Rochat | Zendy; Thomas A. Kent | Zendy

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A Matching Algorithm to Address Imbalances in Study Populations

Author(s) -

Pitchaiah Mandava,

Yogeshwar Kalkonde,

Ryan H. Rochat,

Thomas A. Kent

Publication year - 2010

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.109.574103

Subject(s) - medicine , stroke (engine) , randomization , clinical trial , placebo , outlier , thrombolysis , propensity score matching , tissue plasminogen activator , randomized controlled trial , physical therapy , physical medicine and rehabilitation , myocardial infarction , statistics , pathology , mechanical engineering , alternative medicine , mathematics , engineering

Outcome from stroke is highly dependent on baseline conditions. Patients with stroke have a wide range of severities, ages, and etiologies and it has proven difficult to achieve randomization of key variables in clinical trials. We present a new post hoc approach to achieve balance among selected variables. To illustrate the approach, we rebalanced the National Institute of Neurological Diseases and Stroke Recombinant Tissue Plasminogen Activator trial, in which the contribution of baseline imbalances continues to be debated.

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