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For example, in the analysis of the combined samples, the marginal p values of the ULR-NOMINAL analysis of the four SNPs were 0.0007, 0.0004, 0.0017 and 0.0260, respectively (see Table 3).
ACSEA demonstrated (Fig. 3) that more complex and advanced (comparing to AEA's treatment of numerical annotations as nominal values) analysis of numerical annotations can be performed as an integral part of the enrichment analysis.
Only those chromosome regions that achieved LOD≥1 (nominal P≤0.02) in analysis of all families and/or the religion-specific analysis were taken forward in refined mapping and replication studies.
To ensure compliance with European regulations regarding drug quality, a sample of piperaquine tablets was tested for drug content and impurities, drug concentration was within 5% of the nominal level and analysis of impurities indicated although some impurities exceeded the ICH limit for known impurities [17], all these impurities were identified and none were of concern in terms of safety.
Table 2 shows the results of multi nominal logistic regression analysis of determinants of financial performance in home-visit nursing agencies.
Demographic characteristics were investigated using the Chi-square test for independence (nominal variables) and analysis of variance (ANOVA) (continuous variables) followed up by Bonferroni post-hoc tests for group comparisons when adequate.
Nominal data were analyzed by chi-square analysis-of-contingency tables.
Santaella and Vela (2005) provide an excellent description and analysis of nominal exchange rate policy in Mexico during the tumultuous period of 1987–1994.
We have implemented our method in the software LOCate, available at https://sourceforge.net/projects/categorical. LOCate is an effective and versatile approach for single marker analysis of nominal, ordinal, and binary traits on arbitrary family-sized pedigrees, including those with inbreeding loops and missing phenotypes and/or genotypes.
The Pearson χ test and the Kruskal-Wallis test were applied for analysis of nominal and ordinal variables, respectively.
Chi-square tests were used to test the correlation between nominal items and by analysis of variance differences between group means were tested.
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