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Study Design Considerations Optimizing Statistical Power

4 Study Design Considerations Optimizing Statistical Power [Pg.152]

We noted previously that both crossover and parallel-gronp designs can be employed in TQT studies. As in any other clinical trial, the issue of statistical power is of interest. When commenting on the topic, Mayo (2009) observed as follows The [Pg.152]

The topics of statistical power and sample size estimation are intimately related. A critical part of study design is deciding upon the number of participants that will be employed in the trial. Readers are referred to other sources for detailed discussion of these topics (e.g.. Turner 2010 Teare et al. 2014 Greene 2015 Jia and Lynn 2015) at this time, pragmatic descriptions are sufficient. [Pg.153]

Several statements can be made regarding statistical power  [Pg.153]

The third statement addresses precision of measurement the more precise the measurements, the lower the inter-participant variability will be, and the lower the number of participants that is needed to achieve a desired statistical power. Precision of measurement is therefore of great interest. [Pg.153]


See other pages where Study Design Considerations Optimizing Statistical Power is mentioned: [Pg.452]    [Pg.534]    [Pg.272]    [Pg.259]   


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