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In all the calculated models the result was X/n > 3, hence, the negative binomial approach was used.
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We calculated models for the influence of each genetic predictor separately.
The calculated models predicted 85.1% in model 1 and 85.0% in model 2 resp of AVD or non AVD correctly.
As Table 3 shows, a total of 9 different models were calculated: Model 0 is the null model.
The four servers were also used to calculate models of the CTDUF (residues 994 1097).
This method of calculating model accuracy is called the 'full' fitness model.
† P for trend calculated by modelling the MTHFR.
A transition matrix was calculated to model the network of relationships between transcription factors.
Crossover interference was calculated by modeling the inter-crossover distances as a gamma distribution.
First, the investigators calculated and modelled the care the patients received, which may not be commensurate with what they needed.
The P for linear trend was calculated by modeling the quarters for fried food as a continuous variable.
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