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Spots with greater than 2 standard deviations difference in log2 ratios between dye-swap replicates were assigned zero intensities.
Equivalent results were obtained using the following alternative choices for n: 50 (matching the number of DFPs used in Fig. 2a,b), top 476 and bottom 300 (corresponding to two standard deviations difference to mean ∆DHS score), 1403 (corresponding to top and bottom 10%%).
We have selected a sample size of 160 to provide 80% power to detect a minimum effect size of 0.5 standard deviations, difference in the mean daily crying time between treatment groups with a significance level of p < 0.05, allowing for a drop out rate of 20%.
A sample size of 160 provided 80% power to detect a minimum effect size of 0.5 standard deviations difference in the mean daily cry or fuss time between treatment groups with a significance level of P<0.05, allowing for a dropout rate of 20% (target sample size of 128 for primary analysis).
It also provided 80% power to detect a minimum effect size of 0.85 standard deviations difference in the mean daily cry or fuss time between treatment groups within either the formula fed infants or the breastfed infants, assuming 40% of infants in the sample were exclusively breast fed.
Our sample size of 160 infants provides 80% power to detect a minimum effect size of 0.85 standard deviations, difference in the mean daily crying time between treatment groups within either the formula-fed or breastfed babies, assuming 40% of infants in the sample are exclusively breastfed.
Similar(54)
After excluding minor deviations, differences remained significant even for the small number of irretrievable deviations that were potentially critical.
All results are expressed as means ± standard deviations; differences are considered statistically significant when p is less than 0.05.
In other words, were the deviations (differences between the two samples) the result of chance, or were they due to other factors and how much deviation can occur before one must conclude that something other than chance causes the differences?
The mean (± standard deviations) differences per participant showed similar results, with average differences from 0.100 (HUI2/HUI3) to −0.122 (SF-6D/HUI2) and 95% confidence intervals as great as −0465 to 0.417 (SF-6D/HUI2).
This study found a 0.37 standard deviation difference between men and women in a large adult sample of respondents.
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CEO of Professional Science Editing for Scientists @ prosciediting.com