In both validation techniques, significant differences (which are visually apparent) were noted between the original datasets, datasets corrected using a single spline-fit and the datasets corrected using the proposed dual-spline fit process.
HRs were calculated as the average HRs of the five datasets, corrected for between- and within-imputation variation [ 26- 28].
HRs for each outcome was calculated as the average HR of the five datasets, corrected for between- and within-imputation variation [ 34- 36].
Based on the systematic random datasets corrected for the 5% sample, the total case number for all ages who underwent recorded emergency care was 3,056,492 from 2000 to 2009.
When an error is detected in any of the datasets, we generally remove the dataset, correct the error in the script used to upload the dataset and re-upload the dataset.
In compliance with the method described in (Oti et al., 2009), the datasets are not directly compared, instead they are compared to randomized datasets to correct for gene annotation biases.
First, all genotypic data was imputed to the HapMap3 reference dataset to correct for diversity of the genotyping chips (this reference was subsequently updated to the 1,000 Genomes dataset for ENIGMA2, which began in May 2012).
A solution to this problem, cluster analysis, applies the biologically-motivated knowledge of correlation between adjacent voxels in one or more dimensions of the dataset to correct for the multiple comparisons problem and detect true neurophysiological effects.
First, the quantile normalization algorithm was applied on the dataset to correct systematic errors.
As such, it is difficult to identify the confounding variables in each dataset and correct their effect in prognosis.
