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In the present study, hours of fasting before sample collection was a borderline significant predictor in one regression model: T4 in women with sufficient iodine.
Relationships with colleagues, one of the facets of job satisfaction studied, was found to be the strongest predictor in one study in a hospital setting [ 50].
The CD8+/CD4+ ratio was used in three studies (Sato et al, 2005; Jordanova et al, 2008; Zingg et al, 2010), and found to be a positive prognostic predictor in one of these (Sato et al, 2005).
So linear regressions were estimated with two explanatory variables: the day number as a continuous predictor in one hand, and the period, as a dummy variable separating observations in two groups, before and after, a given date.
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The habitat variables that were significant predictors in one or more models included TEMP, CAN, BFI, SLOPE, and VEL.
Another aspect that can be regarded as a weakness of our study is the dichotomization of key predictors in one of the expert-based prognostic models.
Although individual predictors of urinary creatinine such as sex, body mass index, and age have been reported, no single research endeavor has documented the predictors in one study population as thoroughly as we reported in our recent article (Barr et al. 2005).
In the non-war-deployed cohort, PTSD was a significant predictor in only one of the three misconduct outcomes (drug-related discharges).
Branch was included as an independent variable in the statistical models and was a significant predictor in just one model where working as a nurse at 18 months was the dependent variable.
The efficacies of genomic predictors trained in one breed and utilized to predict genetic merit in differing breeds based on simulation studies have been reported, as have the efficacies of predictors trained using data from multiple breeds to predict the genetic merit of purebreds.
Simulation studies have reported the efficacy of genomic predictors trained in one breed and utilized to predict genetic merit in differing breeds, as well as the efficacy of predictors trained using data from multiple breeds and then used to predict the genetic merit of purebreds that were either included or excluded from training data [ 9- 11].
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