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This article introduces a crossover design that is often used in clinical studies, with the advantage of comparing treatment effects within one study subject. In particular, the advantages and disadvantages of the two-period, two-sequence crossover design (2 × 2 or AB/BA crossover design), which is widely used in clinical practice, are identified, and the elements necessary for analysis are introduced. This article explains the carryover effect, period effect, sequence effect, and period-by-treatment interaction in a crossover design and examines the analysis commands of SAS along with example data. After confirming the carryover effect using a general linear model, the treatment effect is analyzed using a linear mixed effect model.
Cross-Over Studies, washout period, Statistical Round, carryover effect, linear mixed effect model, crossover design, biomedical research, statistics, Anesthesiology, Research Design, Humans, RD78.3-87.3, Randomized Controlled Trials as Topic
Cross-Over Studies, washout period, Statistical Round, carryover effect, linear mixed effect model, crossover design, biomedical research, statistics, Anesthesiology, Research Design, Humans, RD78.3-87.3, Randomized Controlled Trials as Topic
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 133 | |
popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 1% | |
influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 1% |