In the present paper, for the first time multivariate optimization based on central composite rotatable design (CCRD) coupled with response surface methodology (RSM) was used to optimize all effective experimental variables for determination of methyldopa (MD).
The modified Mindlin theory operates with bending deflection as the basic variable for the determination of the total (bending + shear) deflection and the angles of rotation.
Second, despite over 6 years of surveillance for AML patients admitted to our ICU, our sample was small and provided limited statistical power; we therefore omitted multi-variable analysis for determination of predictors of survival.
Multi objective optimization provides valuable information about flexibility of trade-offs between design and operation variables for decision making and determination of system marginal cost.
The coefficient of variation (CV) was calculated for variables for the determination of inter- and intra-observer variabilities.
Our study is a maiden attempt in considering diagonal measurements along with mesiodistal (MD) and buccolingual (BL) dimensions as predictor variables for sex determination.
Initially, a Plackett Burman design was applied to select the statistically significant variables for the determination of fumonisin B1, and then, a central composite rotatable design was used to define the optimal conditions of these variables.
Solomon et al. [23] note that animal nervous systems are better at detecting rates of change rather than absolute values, and so suggest that the relevant biological variables for distance determination are the rate of change of the moment and the rate of change of the protraction angle (see their online Supplemental file).
A logistic regression model selected disease extent in liver, lung and bone as independent variables for the determination of abnormal CA 15-3 values.
For determination of variables independently associated with waist circumference multivariate linear regression analyses were performed for both polymorphisms.
