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The final models for minor mishaps and unsafe conditions excluded race due to non-convergence.
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We evaluated the association of each polymorphism with SLE, adjusting for the admixture proportion utilizing logistic regression under the multiplicative genetic model for minor alleles by combined analysis.
Different combinations of input variables are used to develop four different models for major and minor road right-turning vehicles.
We analyzed the association between lean body mass and SNP under the assumption of the dominant and recessive models for a minor allele in each SNP, using the quantitative trait loci (QTL) estimation model, as previously described (Urano et al., 2010, 2012).
Bivariate hierarchical Bayesian models were developed for minor injury and severe injury to account for the correlation among different severity levels.
Binary logit models are developed for minor road right turning vehicles which show that gap acceptance behavior is influenced by gap duration, clearing time and aggressive nature of drivers.
Odds ratios were calculated based on a dominant model for the minor allele, i.e. major allele homozygotes versus heterozygotes and minor allele homozygotes and, in the case of APOE ε4, no-ε4 versus at least one copy of ε4.
Extensions of the model for the minor anions of natural waters at the present time are difficult due to the lack of reliable activity coefficient data for Na, K, Mg and Ca salts over a wide range of temperatures.
The model loci had a dominant model for the minor allele with MAF of 0.2.
Genetic associations were assessed using both an additive per allele model (as supported by the associations with long-chain fatty acids [19], [20]) and a recessive model for the minor allele (as reported by Caspi et al [23]).
SNP 2. Additive model for the minor allele, MAF = 0.3.
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