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To that end mydeco is now pivoting its model by splitting its business in two.
Marsh and Shavelson [ 15] further developed this model by splitting the academic portion into two specific domains: verbal self-concept and mathematics self-concept.
We transformed the original three-group classification into a four-group model by splitting the 'ultimately fatal' prognosis into a 'long-term' prognosis and a 'short-term' prognosis.
Owing to the skewed distribution of the absence days and the WAI, we verified our presented regression model by splitting the sample into two halves.
Boolean models represented as interaction hypergraphs have a unique underlying interaction graph which can easily be derived from the logical model (by splitting the ANDs, see Klamt et al. [ 6]).
We therefore adapted the model by splitting the category 'socio-political level' into 'socio-political context at the societal level' and 'characteristics of members of the target group' (see Table 3).
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We fitted regression models by splitting the follow-up-time into 1-year intervals [ 20].
However, given that gender was so strongly related to BMI category in our bivariate analysis and that women made up 65.7% of the sample, we also calculated the logistic regression models by splitting the sample by gender.
23 Specifically, we fitted Poisson regression models by splitting the follow-up-time (that is, attained age between cohort entry and exit) into two year intervals and then allowing for one parameter for each such interval and an offset parameter equal to the logarithm of the observed risk time in each interval.
A C5.0 model works by splitting the sample according to the field that provides the maximum information gain.
Przewlocki et al. [ 10] performed validation of their model by random splitting of the data.
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