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Since the HCUP data is highly imbalanced, we employed an ensemble learning approach based on repeated random sub-sampling.
Uncertainty can be accounted for by using Monte Carlo (MC) techniques that generate samples from unknown output probability distributions based on repeated random sampling from independent known input distributions, particularly when a closed form of the output distribution is impossible or difficult to obtain, as in complex nonlinear or multidimensional problems (Kumamoto and Henley 1996).
During the study period, women were selected for oral glucose tolerance test (OGTT) based on repeated random capillary plasma glucose tests ≥9 mmol/L and/or in combination with traditional risk factors, including a first-degree relative with diabetes, prior GDM, obesity, or prior delivery of a macrosomic infant (mean BW greater than +2 SD corrected for gestational age and sex) (32).
The FcLM results were based on repeated random selection of only four taxa to represent the quartet of lineages; however, the AU tests involved all available taxa.
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Note that these correlations were based on repeat random sampling of one member from each unrelated sibship (as for all pairwise trait correlations; see above).
Background distributions of PEM scores were generated based on repeated (N = 100) random association of the same number of arrays to a tissue class as observed for the original data set.
Because the FMD at baseline was significantly different between the 2 treatment groups (control group: 4.7 ± 2.6 pp and PS group: 5.5 ± 2.6 pp), a simulation analysis was performed to assess the effect of PSs on FMD based on repeated (n = 100) random subsets of the population with appropriate weights to achieve balanced FMD values at baseline.
Significance is based on repeated measurements.
An analysis procedure based on repeated cross-validation is suggested.
The power calculation is based on repeated three-group analysis.
P-values based on Repeated Measures ANCOVA corrected for baseline.
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