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First, there has been no attempt to combine quantitatively structural and functional deficits using continuous probabilities of abnormality for each measure.
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We used continuous probability distribution to model relative abundances of all transcripts in a transcriptome, and then mixed it with a binomial or Poisson model to derive the distribution of sampling frequencies.
The most widely used continuous probability distribution in statistics is the normal probability distribution.
In this study, we used continuous probability distribution φ, 0<π<1 to model relative abundance distribution (RAD).
‡Calculated using continuous days of alcohol consumption.
The logistic regression model is widely used in various fields because of its ability to represent two-state occurrence probability using continuous values.
In our adjusted analyses, using continuous variables, we plotted the predicted probability of colonoscopy uptake against each variable, fixing the other variables at their sample mean values.
Using continuous habitat data, we predicted the probability of occurrence for the different species classes – including hybrids in Alberta and eastern British Columbia – and redefined the parental distributions and the hybrid zone (Fig. 4).
For priors on divergence-time and demographic parameters, msBayes uses continuous uniform probability distributions.
Next, we used ROC curves to define the threshold corresponding to our pre-specified sensitivity of at least 90%, which allowed us to transform the continuous probability of EONI into a binary rule.
Within six months after anti-TB treatment, there was a continuous probability of developing AKI.
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