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Using this method, multiple bootstrap samples are drawn from the original data set.
For the second stability analysis, the investigation of different data set sizes, the respective number of samples was randomly drawn from the original data set.
Because the training and prediction sets produced over the replications are always drawn from the same data set, the replications are not independent.
Analyses of adherence, switches and relapses of active UC were conducted in defined analysis sets drawn from the full data set.
A bootstrap sample b consisting of n samples drawn with replacement is drawn from the original training data set.
Should they be the same across the imputed data sets or should separate bootstrap samples be drawn from every imputed data set?
For subsequent checking of stability/reliability, 100 bootstrap samples were drawn from each imputed data set, resulting in 1000 'sample' data sets.
For each selected syllable, a sample of 100 syllables was drawn randomly from the data set.
They train this net using images drawn from a publicly available data set of number images known as the Street View House Numbers data set.
We generated 10 MICE imputations, each drawn from a separate chain with a different random seed, with 10 cycles of imputation before drawing the imputed data set.
The duplex data were randomly drawn, with replacement, from the original data set.
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