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The minimum effect sizes were defined from outcomes in previous intervention studies.
The minimum effect sizes in the putamen were largely unaffected by the distribution of recruitment across centres.
However, the difference between the minimum effect sizes in putamen and fusiform gyrus regions diverges as the number attending Centre 3 increases.
This simple threshold was used for this experiment merely to generate a sufficiently large number of clusters for comparison with predicted minimum effect sizes from the calibration study.
Across both simulations, minimum effect sizes were lower (i.e., improved) with non-linear when compared with linear mappings, with the difference greater in the putamen.
In those clusters identified from the statistical thresholding of the between-group MRC-AIMS F-map (above), the predicted minimum effect sizes were calculated as the means from each cluster.
Similar(53)
The effect size (β1) will likely be specified based on prior studies, subject matter knowledge or the minimum effect size that is either biologically meaningful or cost-effective.
An embedded functionality in PsN for rapid sample size calculations of mixed-effects models (24) was modified to calculate the minimum effect size of food on relative bioavailability needed for a statistically significant covariate relationship (modified Monte Carlo mapped power approach).
'MinD' shows the minimum effect size that our sample size could assess within.
In essence, power analysis enabled us to assess the minimum effect size that can be detected given an α level of confidence of 95% and a β power and a specific sample size.
With our sample size, the expected minimum effect size to achieve significant association at 90% power is estimated to be 0.281.
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