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With a very high sample size, the diversity of Psittacosaurus can be analyzed more completely than that of most dinosaur genera, resulting in the recognition of more species.
We used a forward elimination procedure to account for very high sample size and high correlation between institutional variables.
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It may be that the advantages of IBD mapping would be realized for very high sample sizes.
These samples showed very low genetic distance across all genetic markers despite a comparable high sample size.
Any plate that has a very high sample failure rate may have intrinsically poor data quality and it can be best to exclude all samples from that plate when sample size is sufficient.
In brief, we acquired one frame of data with a very high sampling density level (ratio of beam spot size over A-line separations is about 134) and used part of the acquired data for processing to obtain results at different time intervals.
American wild populations exhibited very high levels of diversity, despite a very small sample size.
Given the very large sample size and the high percentage of the population captured this is unlikely to be a major source of bias.
Therefore, we speculate that this significant correlation might be caused by the statistical bias because of the very limited sample size of patient with high-level AFP.
Two previous studies with small sample sizes (13, 14) reported a decreased TGFB1 level in T1D patients; however, this study with a very large sample size revealed a significantly higher expression of TGFB1 in T1D patients.
Both the very large sample size (almost 90 000 deliveries) and the high number of CS allowed us to assess numerous factors with sufficient statistical power.
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