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For longitudinal analysis of antibody responses, log-transformed antibody titers were modeled using mixed spline models to determine the effect of vaccine dose on mean antibody levels over time using SAS version 9.1 (Cary, NC, United States).
We constructed multivariable linear regression models to determine the effect of B-Pbs < 10 μg/dL on reading and on math ISAT scores, both of which were normally distributed dependent variables.
As in the simulations under histidine starvation, we used the models to determine the effect of gene expression changes associated with individual reactions on the ability of S. cerevisiae to grow at the dilution rate under WOA treatment.
Time is an independent variable that will be incorporated into statistical models to determine the effect of the intervention on CRB and oral health status over specified temporal intervals and shifts (day and evening).
Dosage and frequency of the intervention are independent variables that will be incorporated into statistical models to determine the effect of the intervention on CRB and oral health status, and to compare the efficacy of the intervention to standard mouth care.
We used linear mixed-effect models to determine the effect of lab style (expository vs. learning cycle) on the response variables of LO and HO questions on the lab reports, the plant diversity quiz in lab (quiz), and the plant diversity multiple-choice exam in lecture (exam and CLASS scores).
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Models to determine the effects of SARA on the individual animal's health have been developed [ 5].
Time-dependent DFT (TDDFT) simulations were performed on cluster models to determine the effects of hydrogen on excited-state properties.
The crossover date was added to the model to determine the effect of the 2005 guidelines.
We used a nude mouse xenograft model to determine the effects of COX-2 inhibition in breast cancer.
We, therefore, used a DMBA-inducible breast cancer model to determine the effects of DHA, CCM, and DHA + CCM.
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