The phrase "as linearity" is not correct and does not convey a clear meaning in written English.
It may be intended to refer to a concept related to linearity, but it lacks context and clarity.
Example: "The results were analyzed as linearity, but further investigation is needed to understand the underlying patterns."
Alternatives: "in terms of linearity" or "regarding linearity".
Calculation of the significance of the intercept, as well as linearity testing with MFT and the evaluation of the linear regression model with ANOVA, was performed as outlined in the previous paragraph.
Under optimum conditions, analytical studies such as linearity, repeatability, and reproducibility were also experienced.
Some figures of merit of the method were determined such as linearity ranges and limits of quantitation.
However, use of these approaches brings additional restrictive assumptions such as linearity, normality (Gaussian distributed variables), variance constancy (homoscedasticity) etc.
The analytical performances, such as linearity, method detection limits, relative standard deviation and recovery were examined, and these data exhibited broad linear range, high sensitivity and good precision.
Global sensitivity analysis (GSA) has the advantage over local sensitivity analysis in that GSA does not require strong model assumptions such as linearity or monotonicity.
The validation parameters of the developed method were as follows: linearity: 0.9997, method detection limit: 1.4 ng/g; repeatability: 5.6%; recovery: 99 102%.
These regions (>1 kb) were defined as linearity-conserved regions (LCRs) and were used to analyze genome rearrangement.
An autocalibration algorithm for smart sensors should be able to fix major problems such as offset, variation of gain and no linearity, as accurately as possible.
In the metrology part of this paper the calibration methods to determine the linearity as well as motion straightness and axis rotation errors are discussed.
Post hoc PK analyses included assessments of dose-proportionality and linearity, as well as evaluation of intersubject and intrasubject variability.
