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Despite the small number of conditions, some standard validation tests (such as leave-one-out, label and gene permutation, bootstrap sampling) were performed.
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The unweighted pair group method with arithmetic mean was utilized with the maximum likelihood model to estimate evolutionary distance; 1,000 bootstrap sampling was performed.
The neighbor-joining approach (using the HKY+I+Γ6 substitution mode) with 500 iterations of bootstrap sampling was performed.
To test the robustness of the tree clades, 1,000 bootstrap samples were performed.
An internal cross-validation in 1,000 bootstrap samples was performed to further evaluate the predictive accuracy of the screening instrument.
To get a fair performance estimate and to exclude the possibility of overfitting an experiment with 50 runs and bootstrap samples was performed.
Bootstrap procedure with repeated sampling was performed to validate the model stability.
To obtain supporting values, bootstrap re-sampling was performed 100 times and analyzed with the same conditions.
The bootstrap re-sampling was performed with STATA 11.0.
Monte-Carlo simulations associated with bootstrap re-sampling was performed to calculate the standard deviations for the MRS. We demonstrate, for the first time in renal transplantation, that: (i) male donor gender is a specific risk factor for STR, (ii) the adverse effect of recipient age is enhanced for STR and (iii) the graft failure risk related to donor age is attenuated for STR.
A bootstrap with 100 samples was performed to compare the standard errors (SEs) from the bootstrap with those estimated by NONMEM.
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