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Insightful Corp., Seattle, Washington, USA), the c-index was computed and adjusted for optimism (arising from using the same data to develop the model and assess its performance) by a bootstrap technique to penalise for possible over-fitting, with 200 re-samples and at least 200 patients per risk group [25], [28].
Confidence intervals for the differences in logistic regression coefficients were approximated by a bootstrap technique with 2000 random bootstrap samples with replacement [ 31].
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Parameter estimates of relevant variables and interaction terms were then averaged across data sets by using a bootstrap technique (SAS macro)[ 14].
This paper has presented a methodology for the estimation of a sufficient number of images for a specific feature set using the standard deviation of the detection rate obtained by the classifier as a criterion (a Bootstrap technique is used for that purpose); the general methodology presented can nonetheless be extended and applied to other feature sets.
For achieving robust estimated results, a bootstrap technique is used.
The Probability Density Function (PDF) of those coefficients was calculated using a bootstrap technique.
This paper also develops a bootstrap technique which eventually yields confidence intervals on the results.
In order to suppress the effect of sensor capacitance, we applied a bootstrap technique into a traditional CSA.
A bootstrap technique was used to assess the reliability of the tree topology.
Internal validity was performed using 200 repetitions of a bootstrap technique.
The 95% CIs for the SRMraw were calculated using a bootstrap technique.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com