Categorization of the data (e.g., by facies) often identifies the underlying distributions.
It allows using continuous information in the predictor variables and does not require an artificial binary categorization of the stimuli (e.g., into high- and low-frequency words).
Multiple linear regression is well-suited for analyzing the effects of multiple variables for several reasons (e.g., Baayen 2004): It allows using continuous information in the predictor variables and does not require an artificial binary categorization of the stimuli (e.g., into high- and low-frequency words).
Our analysis was done independently from Blount et al., so these differences are likely related to differences in the definitions and categorization of some variables (e.g., postmenopause or premenarche status), the use of different statistical programs, and different methods of selecting independent variables to remain in the final regression models.
The CDC has published a recommended categorization of ICD-9 E-codes by mechanism (CDC, 1997), and has proposed a similar categorization of ICD-10 codes related to injury mechanism (Annest et al., 2014).
For the edition of the conceptual map of term categorization, in E-TERMOS, the creation, edition, and visualization of the conceptual maps and computational resources for the insertion and evaluation of the terms by experts is allowed.
This method was preferred over other forms of categorization (e.g., median or quartile splits) since it increases subsequent interpretability.
Strictly speaking, variation in judgment may exist both in the understanding of the emotion word (e.g., what emotion is referred to by the word upset) and in the categorization of the encoded emotion (e.g., what emotion type and intensity level the emotion upset belongs to).
Meanwhile, the categorization of types of religion (e.g., as polytheism, henotheism, or other) continued to stimulate attempts at a deeper understanding of the emergence of monotheism.
A business-oriented categorization of users and permissions (e.g., organizational units, job titles, cost centers, business processes, etc).
Using an ensemble of pharmacophores for virtual screening ensures accurate categorization of potential SULT ligands (e.g. substrates, inhibitors).
