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Weights, age, sex, genetic factors, tolerance, physical condition of the patient, time of administration, and drug interaction are few factors that influence the oncologist's recommendation of the drug dosage to the cancer patient.
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An optimization method based on simulated annealing (SA) is then used to locate the combination of controllable factors (tolerances) to optimize the output response (manufacturing cost plus quality loss) using the equations stemming from the trained network.
Multicollinearity between predictor variables was assessed by examining the variance of inflation factor and tolerance factor.
Exact solution of the linearized and convex optimization problem depends on factors like tolerance of the feasibility error and relative optimality tolerance of the solver.
The Variance Inflation Factor (VIF) and tolerance factors were obtained to test for multicollinearity.
Objective: To evaluate cross-reactivity, exposure factors, and tolerance to vaccines containing thimerosal in patients sensitized to mercury derivatives.
Were studied, incidence density of four predefined activity events (sit on bed, sit in chair, stand-up and ambulate), onset delay, limitation factors and tolerance.
We tested for collinearity by several diagnostic measures including Variance Inflation Factors and tolerance [ 25].
Our results, however, suggest that both root and leaf mass are important factors in tolerance.
Variables that were significant in univariate analysis (P < 0.20) were assessed for multicollinearity by using variance inflation factors and tolerance.
We also calculated variance inflation factors and tolerance limits to ensure that our analyses were not affected by multicollinearity.
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