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Furthermore, when we repeated bivariate analysis and logistic regression using a random subsample of 738 (20%) T2DM patients, the main conclusions of this analysis did not change significantly.
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False discovery rates (FDR) for the resulting gene lists are estimated using a random subsampling method.
For each of the gene lists, the false discovery rate (FDR) was estimated using a random subsampling method.
Each of the SVMs was trained using a random 80% subsampling (without replacement) of the derivation cohort.
If the samples then contained more than 500 individuals (i.e., the number of individuals required for calculation of the IBI), they were subsampled using a random selection procedure to reduce the size of the sample to 500 individuals.
The samples that contained more than 300 individuals (i.e., the number of individuals required for calculation of O/E scores) were subsampled using a random selection procedure to reduce the size of the sample to 300 individuals.
Two sets of six units of material type A were chosen using a random stratified sample selection scheme, and three subsamples from each unit were analysed for their pesticide content with the in-house validated methods described earlier.
The subsample will be chosen at random from each participating site, using a random number generator.
To obtain a subsample of twice-read mammograms to explore intra-observer agreement each of the participant centers chose a set of 50-60 consecutimagesages using a random number between the first and last mammograms as initial.
FDRs were estimated using a repeated random subsampling method.
Finally, we repeated all simulations on a smaller set of 20 genomes, using as underlying species tree a random subsample of the tree of 37 mammalian species from the OMA project (Altenhoff et al. 2011).
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