Controlling type 1 error rate for sequential, bioequivalence studies with crossover designs
Copyright policy )Controlling type 1 error rate for sequential, bioequivalence studies with crossover designs
SummarySample size reestimation in a crossover, bioequivalence study can be a useful adaptive design tool, particularly when the intrasubject variability of the drug formulation under investigation is not well understood. When sample size reestimation is done based on an interim estimate of the intrasubject variability and bioequivalence is tested using the pooled estimate of intrasubject variability, type 1 error inflation will occur. Type 1 error inflation is caused by the pooled estimate being a biased estimator of the intrasubject variability. The type 1 error inflation and bias of the pooled estimator of variability are well characterized in the setting of a two‐arm, parallel study. The purpose of this work is to extend this characterization to the setting of a crossover, bioequivalence study with sample size reestimation and to propose an estimator of the intrasubject variability that will prevent type 1 error inflation.
- Amgen (United States) United States
- University of North Carolina at Chapel Hill United States
Cross-Over Studies, Models, Statistical, Drug Compounding, Data Accuracy, Treatment Outcome, Pharmaceutical Preparations, Therapeutic Equivalency, Research Design, Data Interpretation, Statistical, Sample Size, Humans, Computer Simulation, Randomized Controlled Trials as Topic
Cross-Over Studies, Models, Statistical, Drug Compounding, Data Accuracy, Treatment Outcome, Pharmaceutical Preparations, Therapeutic Equivalency, Research Design, Data Interpretation, Statistical, Sample Size, Humans, Computer Simulation, Randomized Controlled Trials as Topic
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