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We generated a 1-km2 prediction (map) using the nonparametric method 'Random Forests', developed to address statistical issues related to over-fit and parameter sensitivity in CART (Classification and Regression Trees) models ([26], [27], [28]).
The sample size was estimated using the nonparametric method developed by Noether [ 31].
Frequency domain analysis of PPI was performed using the nonparametric method of fast Fourier transform (FFT).
Thirdly, when missing diagnosis dates exist, the estimated curve using the nonparametric method cannot converge with the final status curve.
The difference between ROC curves using different loci was tested using the nonparametric method established by Venkatraman and Begg (33).
AUCs for these correlated ROC curves were compared using the nonparametric method of DeLong and colleagues [ 41].
Similar(51)
We used the nonparametric method because EEG data are different for each patient.
In this situation it would be of interest to use the nonparametric method in which the only assumption is the continuous distribution of ({text{EDI}}^{j}).
Some articles used the nonparametric method to estimate the reliability function of the mechanism under extreme impact [8, 9], and Jiang analyzed the application of the proportional risk function in a repairable system [10].
We used the nonparametric method to identify differentially expressed genes (DEGs) between two samples (Tarazona et al. 2011).
We calculated 95% confidence intervals for the AUCs and compared AUCs between measures using the Stata command roccomp, which uses the nonparametric method proposed by DeLong et al. 37 Logistic regression was used to assess whether TIV adjustment improved the prediction above that afforded by each measure by fitting the model with TIV and the measure as explanatory variables.
More suggestions(15)
using the nonparametric technique
using the same method
using the nonparametric bootstrap
using the nonparametric test
using the nonparametric streamflow
using the scientific method
using the ∆∆Ct method
using the dominant method
using the nonparametric classification
using the wet method
using the dry method
using the Spanish method
using the former method
using the old method
using the truncated method
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