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We compared those standard errors to these generated from the sampling variability of a proportion using the binomial distributions and found that they were undistinguishable so we present the latter values based on the Haploview output only.
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Using the binomial distribution allowed us to take into consideration that some patients may have greater risk of hypoglycaemia than others and that the events may cluster in some patients, but this distribution does not force this clustering.
The P value of this criterion is <10-16 <10-16 the binomial distribusing on randomized autheorrelation data, which distribinomialproximately normally with mean ~0 andistributioneviation ~0.01).
By using the Binomial distribution rather than a normal approximation, falcon more effectively pools evidence from sites with low coverage.
In case of a perfectly gender balanced network, one could expect, using the binomial distribution, to have exactly 12.5% man-only triangles, 12.5% woman-only triangles, and 37.5% of the triangles in each of the two mixed triangle possibilities.
We therefore modeled the data using the Binomial distribution.
These P-values are computed using the binomial distribution.
For each hypothesis a likelihood is calculated based on the observed data using the binomial distribution.
The expected frequency distribution of sequences showing specific numbers of errors was calculated using the binomial distribution.
The difference between the expected and observed number of target genes identified using both methods was calculated using the binomial distribution.
The mean and median probe signals within each annotation are calculated and the significance of expression is assessed using the binomial distribution, as in [8].
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