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However, we projected that such resource restrictions would still allow for sufficient enrollment to yield a minimum effective sample size that would be sufficient for primary outcome analyses, even after factoring in an anticipated drop-out rate of 10% per group (see sample size justification below) [4,5,37].
The minimum effective sample size targeted for this study was 10 patients in each of the three groups, which would allow for 80% power to detect a clinically large size mean differences (i.e. 50% or 250 min per week of physical activity) between the music and no music treatment groups, assuming a two-tailed alpha of 0.05.
The minimum effective sample size estimated for the survey was 377.
A minimum effective sample size of 864 individuals (providing data on at least 6 female neighbors) in each stratum was required in order to estimate with 95% confidence the proportion experiencing rape to within 2% and assuming a true prevalence of 10% (calculated using Epi Info, Version 6, CDC Atlanta, 1993).
Whilst formal sample size calculations for external validation studies are not necessary, there was little acknowledgement that the number of events is the effective sample size; 46% of datasets had fewer than 100 events, which is indicated, though from a single simulation study, as a minimum effective sample size for external validation [ 28].
Similar(55)
To achieve the same precision with a cluster sample design as with a simple random sample, the minimum final effective sample size should be ≈ 2800 children per age group, whereby a design effect of 1.2 was applied [ 14].
Seven countries in Round 2 did not obtain a final sample of children that contained more than 60% of the approached children and fell within the targeted age group, while eight countries did not achieve the minimum final effective sample size of ≈ 2800 children per age group (see Additional file 2).
We determined the minimum a priori relative effective sample size (RESS, representing the a priori strength of belief) needed to observe a significant a posteriori OR distribution: how much physicians have to be convinced a priori that CM increases AKI risk to maintain this belief after being confronted with the studies data.
Convergence to the stationary distribution of the single chains was inspected using a minimum threshold for the effective sample size.
Convergence was assessed using the criteria of 1) a maximum bipartition discrepancy (maxdiff) < 0.1 and 2) a minimum effective size > 100 for all sampled parameters.
The experimental data confirm that the optimized sample as predicted does have the minimum effective heat transfer coefficient in the control group.
Related(20)
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