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By simulation it was shown that optimized sampling schemes can detect scale-dependent variance components with common requirements for statistical power on smaller total sample sizes than are required with commonly used spatially nested sample designs such as the balanced design.
In an interview, Dr. Gold said Provenge would have had to reduce the risk of death by 22percentt compared with a placebo to meet the F.D.A. requirements for statistical significance.
Lastly, the requirements for statistical analysis are not well defined.
The exploratory nature of this study makes it difficult to calculate power requirements for statistical purposes.
All our references to myogenic differential methylation met the above requirements for statistical significance.
This constraint is necessary to meet the requirements for statistical comparisons.
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Overall, our findings suggest that RNA-Seq combined with stringent criteria for detection of statistically significant differences in transcript levels (i.e., the requirement for statistical significance for all four binomial comparisons) may generate fewer false positives as compared to some microarray-based approaches.
- The requirement for statistical significance, often p < 0.05, will become "p is difficult to understand, so let's just go with our gut".
As three technical replicates are a minimal requirement for statistical analysis and have already been justified by a number of studies, we chose three technical replicates in the present study.
Although traditional regression analysis (so-called generalised linear modelling) implemented in statistical software packages requires that the data matrix for covariates is full-rank, this is not a requirement for statistical methods for data dimension reduction, such as principal component regression and partial least squares (PLS) regression [17] [22].
This makes clear the requirement for statistical analysis of such data to be clearly planned in the protocol of such studies.
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