Sentence examples for calculation for comparison from inspiring English sources
In this work, we use the converged DSD values as the original DSD calculation for comparison.
A post hoc power calculation for comparison of paired means (GPower-4), based on a 0.001 two-sided significance level, showed that an ES of 0.4 in a sample size of 203 provides a statistical power of 99%.
There was no a priori sample size calculation for comparison between areas: however based on an a posteriori calculation assuming around 400 subjects in each region, such sample size gives the ability of detect standardized effect size of at least 0.2 for comparison based on quantitative data and assuming a power of 80% and a two sided alpha error of 5%.
As this was an exploratory study to determine the effect of Heliox28, for which no previous data exist in lung cancer, a formal sample size calculation for comparisons was deemed inappropriate.
Numerical values of Gibbs energy and other quantities given in [51] have been used in this work to extrapolate the Gibbs free energy versus temperature of hydrogen gas at 100 bar and used in the calculations for comparison with the ideal gas model.
Use of the MOE calculation allows for comparison among chemicals, prioritization of chemicals for evaluation and testing, and identification of significant data gaps.
The proposed method is suitable for sample size calculations for comparisons of means of highly skewed outcome variables.
This approach emphasizes the magnitude of difference in total negative affective symptoms between the Low and High groups and has been used in previous studies by the authors[ 23, 39] We used a sample size calculation for a comparison of means of the primary outcome between the three groups.
Nonetheless, for the current study, we conducted a retrospective power calculation for the comparisons of two independent means to evaluate the power available for comparing the Lubben Social Support score by the dichotomous factors of gender, performance score, and severe adverse events.
MAE is a standard calculation for model comparisons.
