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The sample overlap induces a correlation structure in the sampling errors of the time series of estimates, which affects the analysis of changes in them and may be exploited in producing estimates.
The method can also be applied to minimize the sample overlap.
The degree of coordination is measured by the expected sample overlap, which is bounded above by a theoretical bound, called the absolute upper bound, and which depends on the unit inclusion probabilities.
The second corroboration for the exhaustive nature of the search comes from an application of the sample overlap procedure [35] to the structures generated.
In multiple 10-fold cross validation runs on the training data the performance of the resulting feature sets were compared with a t-statistic (adjusted for sample overlap and multiple testing).
The index of sample overlap
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In addition, sample overlapping conditions are considered for proper initialization of new hidden neurons, thus minimizes the misclassification.
The shrinkage phenotypic correlation coefficient of two traits can be unbiasedly estimated by the correlation of genome-wide Z-scores, which is proportional to the phenotypic correlation on the liability scale, with a shrinkage factor of the square root of sample overlapping proportion.
380 individuals within this sample overlapped with the 600 individuals in the second pooling stage.
It is important to mention that sample overlapping exists between these studies.
The score for a given enhancer was averaged across all windows a sample overlapped with.
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