More categorical interest-based approaches ground moral status on the capacity to experience oneself as temporally-extended beings whose lives can go better or worse (Singer 1993; Tooley 1983) or to value one's own existence (Harris 1985; Newson 2007).
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The chi square test was used to examine an association between CIMP and other categorical variables of interest.
In practice, this demonstrates that relationships between shape and categorical factors of interest can be extrapolated from a given training set to new data in an automated fashion.
Here, we have demonstrated how the analysis of 3D phenotypes can be automated: the researcher selects phenotypes for the training set, converts them to DEMs, labels samples by the categorical variable of interest, extracts features, runs feature selection and applies the obtained classifiers to new samples.
Patient efficiencies (TE, scaled [0, 1], where 1 ≡ the optimal production frontier) were summed over categorical descriptors of interest.
Demographic characteristics were compared using Chi-square tests for the categorical variables of interest, and mean ages of the three cohorts were compared using one-way ANOVA.
Categorical variables of interest associated with, minimum meal frequency, minimum dietary diversity and minimum acceptable diet were determined by using a Chi-square test.
We estimated the association between exposure variables and categorical outcomes of interest using multiple logistic regression analysis (for smoking) and multinomial logistic regression (for physical activity).
To minimize overestimation of the relative risk when using Poisson regression for a categorical covariate of interest, a robust variance procedure was used (Lin and Wei, 1989).
