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This sample is also large enough to detect medium sized clinically relevant intervention effects on the secondary outcome EORTC QLQ-C30 subscales.
Assuming statistical power of (1-β) = .80, type-I error probability of α = .05, and a correlation between covariate and outcome of ρ = .6, a total sample size of N = 84 is required to detect medium sized effects between groups [ 29].
When applying statistical power analysis (e.g. using the software G*Power 3.1.3, estimation for point biserial correlations [ 15, 16]) with N = 44 and α = 0.05, the design of the present study has enough power (1-β = 0.96) to detect medium sized effects (d ≥ 0.5).
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There was.80 power or greater to detect medium size effects using repeated measures analyses with 3 to 5 levels of factors and greater than.99 power to detect medium size differences in means using matched sample t-tests.
With a two-tailed alpha set to 0.05, 37 participants were needed to achieve 0.80 power to detect medium size effects or larger (d z = 0.48) for pre-post change, as well as to have 0.80 power to detect r =0.44 or larger correlation coefficients.
In particular, ScanIndel reliably detects medium-size indels and has comparable performance with existing methods for detecting very large indels.
Trials of this size lack the power to detect medium-sized treatment effects and carry a considerable risk of false negatives (Cohen 1992; Tarnow-Mordi 1999).
To test eight effects, i.e., three main effects of the manipulations, three main effects of patients' characteristics (age, education, participant group), and two effects of personality characteristics (attachment anxiety, and attachment avoidance), using an alpha of.05, for a 95%% power to detect medium-sized effects (Cohen's F = .15), a minimum sample size of 160 was required [ 50].
Sanger sequencing and MLPA testing are insensitive to detect medium-sized deletions [ 9].
Although the number of elderly Iranians in Sweden in the study is small, we had sufficient (80%) statistical power to detect medium-sized effects.
The goal of our method is to detect medium-sized deletions, specifically those in the range of 100 bp to 10 kb.
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