For both P.falciparum and HBV sample libraries, reads from the initial and the round 3 libraries were chosen at random to fill datasets of various fixed sizes.
The 84,967 filtered SNPs in common were merged following the consensus method, i.e. missing calls in one of the datasets was filled from the other dataset, and mismatches between datasets resulted in a missing call in the merged dataset.
The samples of the Cypriot dataset are few, since less than 2,000 users of the Cypriot dataset filled properly the online questionnaire and expressed at the same time their vote intention.
Furthermore, it seems with our chosen sweep width and digital block size that even with a zero-filled dataset the resolution may be at risk of undersampling, especially for the narrowest (and largest) peak, the phosphocreatine.
All datasets filled the following criteria: (1) maxTran ≤ 2 mm, (2) maxRot ≤ 2°, (3) meanFD ≤ 0.4 mm, and (4) mcBBR< 0.75.
Moreover, small gaps in the created mask image for STARE dataset are filled using a morphological closing operator whose structure element is a disk of radius 10.
Notie that the odds ratios and P-values for both designated patterns alone in dataset D4 (filled blue) are worse than the scores for the same patterns alone in the single-risk D2 and D3, respectively (hollow blue).
Our dataset was filled with instances where trainees reported that they considered asking for help but decided against it because their supervisor wasn't close by, and they thought that their question wasn't important enough to warrant a phone call to someone who might be busy with something else.
In order to account for extremely small dataset sizes, HBV datasets were randomly filled and analyzed 1000 times and the coverage results were averaged.
The simulated rs-fMRI datasets were generated based on the preprocessed rs-fMRI data selected from the second dataset, filling the bilateral medial frontal cortex (MFC) with synthetic BOLD signals instead of original time-varying signals (Fig. 2).
Parallel analysis works by generating many random parallel datasets, with the same number of variables and cases as the sample dataset; each of these parallel datasets, which are filled with independent randomly generated data, is analyzed using principal component analysis.
