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Missing information may reflect a negative or more conservative correlation between markers and survival, which could lower the significance of markers expression as a predictor of mortality [ 141].
We approximated paired analyses for the one cross-over trial using a conservative correlation coefficient (0·5) with sensitivity analyses at 0·25 and 0·75.
Assuming a conservative correlation of 0.5 implied that the sample size could be reduced by 25%, and still maintains the same power.
Based on a moderated and conservative correlation (r = 0.4, effect size) and using α = 0.05, β = 0.20, and power = 80%, approximately 37 subjects were needed for this study [ 23].
Including the 10 week and further 22 week follow-ups in a repeated measures analysis increases the power to 85% assuming a conservative correlation of 0.8 between all post-baseline measurements and a uniform physiotherapy effect.
For the power analysis, we used the following specifications: a Type I error rate of α =.05, statistical power of.80, a two-tailed test, and a rather conservative correlation between pre and post measurements of 0.5.
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These conservative correlations can be used in the design of in-vessel core catcher in pool-type SFR in order to ensure safe retention of radioactivity within the primary containment system even under whole core accident scenarios (WCA).
A conservative intraclass correlation of 0.07 was assumed for clustering at the clinic level.
We applied an LLS cutoff of 2.1 to each protein pair that corresponds to a conservative Pearson correlation coefficient for co-expressed gene pairs of ~0.94.
Based on power analyses and assuming a conservative intracluster correlation coefficient, 1289 children were needed to detect a 25% difference in rates between the two groups of the cluster trial.
There is no pilot data to inform the likely degree of clustering, but assuming a conservative intraclass correlation coefficient of 0.1, and an average of 3 participants per cluster, the study sample size would need to be increased by 20%.
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