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They are positively correlated with each other but a distinct regression line is not identified.
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Combining GA with PLS, however, typically results in multiple distinct PLS regression models from different subsets of genes that predict the phenotype profile with similar accuracies [ 12].
To account for variations in job satisfaction, four distinct multiple regression models were assessed, with specific consideration of AWC and GWC.
Glass and Rosenthal [ 28] assessed the highly innovative drugs and me-too drugs in two distinct logistic regression models their study was the only eligible one performing separate analysis in the function of innovation.
We studied the relationship between benzene and birth weight and the relationship between benzene and measures of head size assessed at birth and during the third trimester in distinct linear regression models (Stata SE version 10.1; StataCorp., College Station, TX, USA).
Possible factors predicting walking ability (with independent patients having a TUG result of < 20 s, as opposed to dependent patients with a result of greater than or equal to 20 s) and the dislocation risk (yes or no) were investigated with 2 distinct multivariable regression models.
We found this odd, since assumptions for statistical models are quite distinct (binary logistic regression model vs. linear regression model).
For the MLSEA, the D C /b relationship showed a distinct negative linear regression (Figure 6a), which implies increased accumulated stress and decreased earthquake clustering (Barton et al. 1999; Öncel and Wilson 2002).
Distinct stepwise multiple regression analyses were performed for each psychophysiological measure and emotion, considering the mean values for face and script condition.
In total, nine distinct multiple linear regression models with statistically significant differences were generated with genotypes and alleles data; in Table 4, the results obtained with the alleles are shown.
The relationship between exposure to contaminated water and self-reported adverse health outcomes was studied in distinct multivariate logistic regression models, which were used to obtain odds ratios and 95%% confidence intervals (CI) for self-reported symptoms in both communities.
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