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Therefore, we also carried out a Wilcoxon rank sum test and reevaluation of confidence intervals using a bootstrap method to assess the statistical significance of the differences in depths.
In the absence of an external validation cohort, internal validation was performed using the bootstrap method to assess the optimism of our clinical diagnostic models., In this context, optimism refers to how much better a diagnostic model performs in the population in which it was derived compared with a new population in which it is validated.
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In this paper we use the nested-bootstrap method to assess the accuracy of the estimated ICC for continuous and binary response variables under different covariate structures.
In this study, we use a bootstrapping method to assess the uncertainty associated with the imputation process on predictions of live tree structure (canopy cover, quadratic mean diameter, and aboveground biomass), dead tree structure (snag density and downed wood volume), and community composition (proportion hardwood) for a portion of the Cascade Mountains in Oregon, USA.
We implemented the parameter bootstrap, an efficient method to assess and correct for the effects of measurement error.
We will retain all of the prespecified covariates in the model regardless of statistical significance, and we will validate our fitted models using modern bootstrap validation methods to assess predictive performance and protect against overfitting.
To assess the significance of these LRTs we used a nonparametric bootstrap method to calculate false discovery rates (FDR) for our data [ 11] (Methods).
To assess the reliability of the relocated hypocenters, we applied a statistical resampling approach termed as bootstrap method to the events.
We adopted the bootstrap method to conduct regression analysis.
We used a bootstrap method to obtain confidence intervals [32].
A novel statistical analysis method was developed (using Box Cox transformed regression and a bootstrap method) in order to assess the effects of these manipulations singly and in combinations.
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