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We expect based on binomial theory that the maximum number of false-positive associations in Table 1 will be three or fewer.
Additionally, because all sensitivities from the 3 existing search strategy types were > 50%, the lowest sensitivity from the high specificity strategy was used as the parameter for this evaluation to guarantee the sample sizes for the other 2 search strategy types (i.e., high sensitivity and balanced combination) based on binomial theory.
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A rationale for the appropriate choice of p, based on Binomial Probability is also presented.
An optional analysis method allowing for a better estimate of confidence bounds, based on binomial probability is presented.
The logit models are based on binomial distributions (z-scores, generalized linear mixed model, GLMM).
In [15], the authors present a fault-tolerant broadcast algorithm for hypercubes based on binomial trees.
Confidence intervals were calculated based on binomial and multinomial tests of accuracy.
In the remaining part of the paper, we call our model the binomial model, since it is mainly based on binomial distribution.
The latter can be estimated by several approaches based on binomial and Poisson regression with or without constraints.
The distribution of the mutations was based on binomial distribution.
Confidence intervals for proportions of detected samples were set at 95% and based on binomial distributions.
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