Respiratory acidosis, metabolic acidosis and other mixed disorders were categorized using the classical method (namely, the Henderson-Hasselbalch equation) with base excess and corrected anion gap (AG) (corrected AG = (measured AG + (40 g/dl - (albuminemia ÷ 10 g/dl))) [ 3, 18, 19].
All 356 isolates were also categorized using the MIRU-VNTR typing method, which detected 140 different patterns, comprising 36 clusters formed by 252 isolates and 104 unique patterns formed by 104 isolates (Table 3).
The soil erosion intensity map generated had the values categorized using the natural breaks (Jenks) classification method into four soil erosion classes, i.e., very weak, weak (2 5), moderate (5 15), and strong (> 15).
All isolates were also categorized using the 15 loci MIRU-VNTR typing method and combin with NTF locus and RD deletion analyses.
In a previous study using repeated k-means clustering, we showed that applying hard clustering to the cross-correlation matrix of connectivity patterns is undesirable in the insula: repeated application of k-means clustering reveals that in comparison with the mPMC, a significantly higher proportion of the middle insula cannot be reliably categorized using this method [Nanetti et al., 2009].
We performed case case analyses to examine the association between BRCA1 or BRCA2 carrier status categorized using each method (exposure variable) and outcome variables (clinical and disease characteristics).
Important concepts identified from the data were labeled, coded and categorized using conventional content analysis methods [ 39].
In order to simplify the application of the proposed methods, the time-invariant covariates were categorized, using pre-defined cutpoints.
As shown in Table 3, the four anomaly detection methods can be categorized using a general anomaly detection framework, consisting of two components: an underlying model and a threshold.
We find that while both these positive control data sets would be classified as chaotic using many classical methods, they would be categorized as stochastic using the methods employed in recently published time series analyses of Ca2+ oscillations.
