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To compare characteristics and clinical outcomes between the two periods, we analyzed categorical variables using χ2 tests or Fisher's exact tests, when applicable, with data presented as numbers and percentages.
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Experiments show that the k-modes clustering algorithm using refined initial points leads to higher precision results much more reliably than the random selection method without refinement, thus making the refinement process applicable to many data mining applications with categorical data.
The model is also applicable with less detailed data like maximum or average bed utilization per shift.
Where applicable, outcomes were compared with data previously collected from callers to a state-funded quitline using chi-square for categorical measures and t-tests for continuous measures.
This is in order to accurately assess the performance of the algorithm and validate the algorithm performance with applicable experimental data.
However, most designers and engineers do not know how to convert old anthropometric data into applicable new data with minimal errors and costs (Wang et al., 1999).
Although SAM-GS is only applicable to data with binary endpoints, an extension of SAM-GS recently introduced by Adewale et al [10] is applicable to diverse phenotypes, including binary, multiclass, continuous, and survival endpoints.
Statistical comparison between groups was performed with applicable tests; data are expressed as median (IQR).
The method is applicable to data with a wide range of upper resolution limits.
To validate the simulation results, the dynamics of the model should be further examined by comparison with applicable experimental data.
The feature makes it applicable to data with n ≪ p. PLSLDA: Partial Least Squares (PLS) dimension reduction (see [ 21] for an overview) followed by linear discriminant analysis using the PLS components as predictors [ 22].
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