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Sample size calculation was based on an estimated difference in hepatic suppression between two interventions of 10%, with a standard deviation of 6% (α = 0.016 after Bonferroni correction for three comparisons), and it was determined a sample size of nine volunteers would be sufficient.
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Exclusion of any interaction between the two interventions of the ADVANCE trial would have required a sample size 4 times as large to be adequately powered (20).
Based on previous research that reported a standard deviation of 20.93 for a paired difference in mean compression rates, 16 we estimated that we needed 140 participants to detect a mean paired difference between any two interventions of five compressions per minute with a power of 0.80 and an α of 0.05.
With a 'minimal relevant mean difference' (MIREDIF) between the two interventions of 5 HDRS points, an α of 0.05 (type I error), a power of 0.90 (type II error of 10%) and a SD of 7 HDRS points, the sample size calculation showed that a total of 84 participants would be necessary.
To illustrate an indirect comparison, suppose that the comparison between two interventions, A and B, is of interest.
Horneij (2001) and co-workers explained their non significantly different results between two interventions such that, as the aetiology of musculoskeletal disorders is multifactorial, a combination of the two programs might be preferable [ 41].
Note: Each row shows a series of hypothetical choices between two interventions A and B that could be offered to the specified number of patients each, and responses to the choices.
Randomised block sizes of two to four were used to avoid any uneven distribution of patients between two interventions.
The list comparison method we have developed can identify shared genes as well as the degree of similarity between two interventions.
Only studies reporting significant differences in the incidences of postoperative delirium between two interventions (P < 0.05, two-tailed) were included.
Respect of the OR cleaning time between two interventions.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com