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Researchers have cautioned against the use of parametric methods in the analysis of NPI scores.
We encourage more frequent use of parametric methods for comparing discrete numerical variables.
However, some eukaryotic genomes present characteristics close to prokaryotic ones and allow attempting the use of parametric methods on them.
Continuous data were analysed by use of parametric methods, and categorical data were analysed by Chi-Square tests.
The use of Log transformation of PCB and b-galactosidase activity values normalised their distribution and stabilised the variance allowing the use of parametric methods.
The use of parametric methods for analysis (i.e. t-test) also enables the relatively easy estimation of confidence intervals, which is regarded as good statistical practice [ 1].
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Actually, in the medical sciences, researchers lean to use Cox semi-parametric method instead of parametric methods to analyze survival data.
Moreover, the intrinsic variability of the A. fumigatus genome is quite low allowing the use of this type of parametric method.
Rashidinia et al. [25] and Ding and Zhang [26] discussed the use of parametric spline methods for the solution of 1D hyperbolic equations.
Additionally, the use of parametric extrapolation methods for survival analysis instead of raw trial data was considered important because of the high impact of survival parameters on the ICER.
The use of a parametric method was appropriate for the present analysis.
More suggestions(15)
use of parametric designs
use of reductionist methods
use of ancient methods
use of additional methods
use of calorimetric methods
use of parametric models
use of parametric curves
use of other methods
use of molecular methods
use of agile methods
use of pseudoscientific methods
use of parametric trends
use of parametric studies
use of parametric investigations
use of spectral methods
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