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Because these two variables formed a non-linear relationship with mortality or infection status, they were categorized and included as categorical model terms (6 categories each) to achieve better adjustment.
Bayesian Maximum Entropy was used to quantify the uncertainty of spatially variable categorical model inputs.
In this work, patterns of read write sequences are mined from a single execution of the target program to produce a quantitative, categorical model of thread behaviors.
In studies investigating music and emotion, the categorical model of emotions has been modified to better represent the emotions induced by music.
The goal of the underlying dimensional model is not to find a finite set of emotions as in the categorical model but to find a finite set of principal components of emotions.
In Table 2 we present results for our ordered probit model where the dependent variable is an ordered categorical model with three responses; with a value of 1 indicating a decrease in enterprise profits, 2 indicating no change in profits, and 3 representing an increase in enterprise profits.
A categorical model was thus build and it was able to distinguish between agonist (99% correctly predicted) and antagonist (98% correct) and partially full agonists (63% correct) with a specificity of 0.85, a sensitivity of 0.83 and a MCC of 0.69.
The categorical model has the smallest Kulback-Leibler value.
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The alternative hybrid dimensional-categorical model is now included in a separate chapter in Section III of DSM-5 to encourage further empirical research [ 2].
The Personality and Personality Disorders Work Group for the DSM-5 has recommended a significant reformulation of the approach to the assessment and diagnosis of personality psychopathology: a hybrid dimensional-categorical model [ 25].
The 'categorical' model (Table 4, Model 2) identified six highly significant prognostic factors, namely LDH, albumin, metastases, WBC, CA19-9 and bilirubin.
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