Practical usage of O'Brien's OLS and GLS statistics in clinical trials |
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Authors: | Dallow Nigel S Leonov Sergei L Roger James H |
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Affiliation: | GlaxoSmithKline, Greenford, UK. |
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Abstract: | Multivariate techniques of O'Brien's OLS and GLS statistics are discussed in the context of their application in clinical trials. We introduce the concept of an operational effect size and illustrate its use to evaluate power. An extension describing how to handle covariates and missing data is developed in the context of Mixed models. This extension allowing adjustment for covariates is easily programmed in any statistical package including SAS. Monte Carlo simulation is used for a number of different sample sizes to compare the actual size and power of the tests based on O'Brien's OLS and GLS statistics. |
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Keywords: | O'Brien's OLS test GLS test multiple endpoints operational effect size sample size adjustment for covariates |
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