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Optimism of the lasso model was investigated by comparing 4 approaches of handling multiply imputed data in the bootstrap procedure, using the study data and simulated data sets.
All possible indirect effects on life satisfaction and self-rated health status at 60-month post-discharge were tested with the bootstrap procedure using the Mplus statistical software (see Table 3).
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An alternative bootstrap procedure uses the gene trees themselves as the sampling unit.
The bootstrap procedure uses the observed data to estimate the theoretical and usually unknown distribution from which the data came [ 20, 21].
Therefore we used bootstrap procedures using the mean (bootstrapped t approach [49]) for samples with N≥6.
To test this moderated mediation, we used a bootstrapping procedure using the SPSS PROCESS macro (Hayes 2013).
Cohen's κ coefficient and CCC were compared between group I and group II using the bootstrap procedure using 1000 resamples [11].
The standard deviation of these measures was estimated by a bootstrap procedure (using 1000000 bootstrap datasets derived using the inParanoid orthology predictions for each nucleolar-association group).
The confidence level of each node was estimated by the bootstrap procedure using 100 resampling repetitions of the data [ 59].
The confidence level of each node was estimated by the bootstrap procedure using 100 resampling repetitions of the data.
SE estimates, which were obtained by a bootstrap procedure using 1,000 replicates, for the between-group mean number of nucleotide differences are shown above the diagonal.
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