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A comparison of nonparametric and parametric methods to adjust for baseline measures

Martin O Carlsson1, Kelly H Zou2, Ching-Ray Yu2

  • 1Pfizer Inc., New York, NY, USA; Department of Statistics, Rutgers, The State University of New Jersey, New Brunswick, NJ, USA.

Contemporary Clinical Trials
|January 28, 2014
PubMed
Summary

Statistical analysis of randomized controlled trials can yield different results based on baseline adjustment methods. This study evaluates Type 1 error and statistical power across various parametric and nonparametric approaches using simulations.

Keywords:
Analysis of covarianceCovariate imbalancePercent change from baselineRandomized controlled trialsRobust regression

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