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This approach, akin to adjusting clinical data for confounding variables, evaluates the effect of the interaction between genotype and age independently of individual effects of the genotype (the latter are not necessarily associated with aging directly but could occur due to the multiple endocrine abnormalities in the df/df model).
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Pharmacodynamic variables evaluated included sedation scores, supplemental sedation and analgesia medication administration, time to tracheal extubation, respiratory function, and hemodynamic parameters.
The stability index was also significantly correlated with most of the soil variables evaluated.
The current efficiency, energy consumption and space time yield were the variables evaluated.
The variables evaluated included three layout configurations and two reinforcement ratios.
Nonparametric tests of comparison were used for variables evaluated as not being normally distributed.
This allowed us to calculate the descriptive statistics for all the variables evaluated.
The relationship between growth variables evaluated and cumulative transpiration was significant (Figure 6).
The primary outcome variables evaluated were low birth weight, as defined by the delivery of an infant < 2500 gm, and infant mortality.
Variables evaluated included: tumor location, features of the primary tumor, and preoperative findings on computed tomography, magnetic resonance imaging, and history/physical.
Variables evaluated in each pollination assay were the percentage of viable seeds produced and percentage of empty seeds.
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