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Critical method attributes, the absorbance at 450 nm (A450) of the Nessler product as well as its variability, were evaluated as a function of critical method variables, by using experimental designs.
A statistical experimental design was used to study the effects of the synthesis method variables on the particle size.
The influence of method variables on the amount and rate of retention-loss and the final optimized parameters for the accelerated low-pH RPLC stability test are presented.
The simulations yield full analyte profiles during solute migration and at elution, which enable a thorough physical understanding of the effects of method variables on chromatographic performance.
Design of Experiments (DoE) was applied as a tool to achieve the optimum conditions through Response surface methodology with three method variables, pH, temperature, and mobile phase composition.
The overall survival (OS) rate was calculated by the Kaplan-Meier product-limit method; variables associated with OS were evaluated using the Cox proportional hazards and log rank tests.The 12-month cumulative incidence rates of LF and DF, with death as a competing risk, were 9.5% and 54%, respectively.
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Under this method, variable values are permuted for the OOB data of each tree and the resulting classification error is subtracted from the OOB data error without the variable permutation18.
By using this method, variable lesion volumes in the phantom were not a requisite.
In this method, variable percentage data changes are assumed for a test DMU and for the remaining DMUs.
The standard method variable entering method was used with a tolerance level of 0.01, F to enter was set to 1.
Two-factorial ANOVA, analysis of covariance (ANCOVA), and multiple regression (stepwise method; variable entrance criteria: p < 0.05; variable removal criteria: p > 0.1) were used to coevaluate factors/variables.
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