An unconditional logistic regression model with either a nominal-genotype-coding covariate (ULR-NOMINAL analysis) or an ordinal-genotype-coding covariate (ULR-ORDINAL analysis) was carried out.
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.
The waves are calculated once from a full nominal assembly analysis, but these nominal waves can be re-used for the assembly of modified components.
The methodology employed for this research covers almost purely qualitative methods—specifically thematic coding and inductive development of grounded-theory with nominal content analysis.
To date, there is no Bayesian framework for both ordinal and nominal linkage analysis on pedigrees with inbreeding loops and missing data.
Nominal regression analysis was used to identify which variables were independently associated with falls and death.
Since the response variable of attitude is nominal, multivariable analysis was performed by Generalized Logits Model for Multinomial Logistic Regression.
The odds ratio for unfavorable baseline characteristics and events in post-surgery progression was analyzed by binary or multi-nominal logistic analysis.
Statistical analyses were performed using SPSS 15.0 (SPSS, Chicago, IL) and included an independent-sample Student t test, χ test, ANOVA, Kruskal-Wallis, Mann-Whitney U test, and univariate and multivariate, linear, logistic, and multi-nominal regression analysis as appropriate.
