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This presentation evaluates differences between radiation biomarkers of dose and risk and demonstrates the consequential problems associated with using biomarkers to do risk calculations following radiation exposures to the complex radiation environment found in deep space.
The global score test evaluates differences between cases and controls in the overall haplotype distribution.
Surprisingly, although haplotype-based and LD methods are expected to perform similarly [ 64], when the Rsb method for detecting selection signatures [ 65], which evaluates differences between breeds by estimating extended haplotype homozygosity (EHH) for each SNP location, was applied in our data, the results were quite different, and only two regions shared a signal.
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To evaluate differences between different dose levels, we implemented a 2-step IPTW MSM scheme.
Thus, Kruskal-Wallis' test was used to evaluate differences between exposure groups with respect to the different outcomes.
Chi-square tests evaluated differences between age groups and characteristics of observed interactions.
Similarity (f1) and dissimilarity (f2) factors were calculated to statistically evaluate differences between perturbed and normal dissolution tests.
Two-tailed T-tests were employed to evaluate differences between normally distributed data (Kolmogorov-Smirnov test), and Ranksum test or two-tailed Kruskal-Wallis test were used for nonparametric evaluations.
Based on the log2-tramsformed normalized intensity values, unpaired Student's t-tests (two-tailed, equal variance) was applied to evaluate differences between the means of P38α+/− and P38α−/− samples.
One-way ANOVA tests using post hoc Bonferroni test were performed to evaluate differences between subgroups.
Paired t-tests and one-way analysis of variance were used to evaluate differences between groups.
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