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Examples
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Bootstrapping is a good way to determine robustness when you anticipate having a small number k .ge. 2 of “outliers” or “highly influential” observations — it is certainly better than “leave-one-out” methods.
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Various statistical methods, including the leave-one-out cross validation method, were applied to identify a gene expression signature able to predict the likelihood of progression.
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Various statistical methods, including the leave-one-out cross validation method, were applied to identify a gene expression signature able to predict the likelihood of progression.
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Various statistical methods, including the leave-one-out cross validation method, were applied to identify a gene expression signature able to predict the likelihood of progression.
BioMed Central - Latest articles Seon-Kyu Kim 2010
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In addition, extensive cross-validation by leave-one-out technique and validation by response permutation was applied to 7 groups of approximately 32 subjects to reduce bias in creating a predictive gene set.
PLoS ONE Alerts: New Articles Peter R. Sinnaeve et al. 2009
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Semi-variogram models of local scale autocorrelation for kriging analysis were selected based on leave-one-out cross-validation.
PLoS ONE Alerts: New Articles Keith A. Hobson et al. 2009
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Finally, to assess the predictive value of our model of H460 heterogeneity, we recomputed separation accuracies using a leave-one-out strategy (
Naturejobs - All Jobs Dinesh Kumar Singh 2010
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