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Specifically, we compare 23 single models and bootstrap aggregating (i.e., bagging) models for their predictive abilities across five diverse medical data sets.
Costs were analysed using random coefficient models and bootstrap techniques.
Models and bootstrap replicates were run using Wings for NONMEM® [ 27].
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We used information theoretic methods to rank competing models and bootstrapping to evaluate the goodness-of-fit of the final models.
The study employs both non-parametric (standard and super-efficiency DEA) models and bootstrapped parametric techniques to provide a more holistic approach and useful insight into the given problem.
Statistical analysis includes bivariate correlations for parametrically and non-parametrically distributed data, multiple robust regression models and bootstrapping techniques to obtain confidence-intervals for the correlation and regression estimates.
Here, a new approach to sensitivity index estimation using meta-models and bootstrap confidence intervals is described that provides solutions to these drawbacks.
Structural equation modeling and bootstrap tests of indirect effects were conducted to address the study aims.
The mediation roles of self-efficacy and outcome expectations were further confirmed by the results of structural equation modeling and bootstrap analyses.
b) The NJ tree was constructed by Neighbor-join method with Tajima-Nei model and Bootstrap replicates set as 1000.
Phylogenetic relationship was assessed by using the neighbor-joining method based on a Tamura 3-parameter model and bootstrap analysis (1,000 replicates) as implemented in MEGA5 (8 ).
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