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Again, logit models based on binomial distributions (z-scores, Generalized Linear Mixed Model) were used to model binary decisions [33] by our listener responses (i.e., the listeners' /ɡ/ or /k/ response).
Our model is based on binomial distribution, and input requires only an estimate (or range of estimates) of gene frequencies of variants (including mutations).
A simple mathematical model was developed based on binomial distribution.
In the remaining part of the paper, we call our model the binomial model, since it is mainly based on binomial distribution.
A random effects model used an exact likelihood method in which within-study variance was based on binomial distribution [ 36].
The logit models are based on binomial distributions (z-scores, generalized linear mixed model, GLMM).
The distribution of the mutations was based on binomial distribution.
We estimated the prevalence of the birth defects with 95% confidence intervals based on binomial distribution.
Confidence intervals for proportions of detected samples were set at 95% and based on binomial distributions.
The exact CIs were calculated based on binomial distributions.
Ninety-five perconfidencedence intervals (95% CI) for proportions were calculated based on binomial distributions.
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