CARRYOVER EFFECT ANALYSIS IN BIOEQUIVALENCE STUDIES FOR CROSSOVER DESIGN
The crossover design to study the differences in treatments yields a more efficient comparison of treatments than a parallel design. Subjects are on their own controls. The within-patient variation is less than between-patient variation. Crossover design requires a smaller sample size than a parallel design, but achieves same level of statistical power and precision. However, there might be a potential carryover effect in crossover design. Generally more bias is occurred in cross over design compare to parallel design. Thus the effective analysis is done using SAS procedures.[Full Text Article]
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