The phrase "and normal data were" is correct and usable in written English.
It can be used in contexts where you are discussing data types or results in a scientific or analytical setting.
Example: "The experiment yielded significant results, and normal data were collected for further analysis."
Alternatives: "and standard data were" or "and typical data were".
Patient and normal data were reconstructed with iterative reconstruction with correction for attenuation, scatter and septal penetration (ACSC), the same reconstruction without corrections (IRNC), and filtered back-projection (FBP) with data quantified using small volume-of-interest (VOI) (BRASS) and large VOI (Southampton) analysis methods.
For MDMV data analysis the same linear model was fitted but separate variance terms for mock control and normal data were specified.
If distributions were normal, data were compared with one-way ANOVA, and if distributions were not normal, data were compared with a KW test.
Moreover, Cole [ 34] shows that mean and SD for normal data are commonly used for the construction of curves as well as the LMS method for the treatment of asymmetry.
1-class SVM is a special variant of the general support vector machine (SVM) and since only the normal data is required for training, 1-class SVM is widely used in anomaly detection.
All variables were assessed for normality and non-normal data were log transformed, which included data for CRP, IL-6, IL-6sr, fibrinogen, sE-selectin and sICAM-1.
A MiQE checklist [ 53] is presented in Additional file 4. Normal and non-normal data were expressed as mean and standard deviation (SD) or median values and ranges.
Normal data are described as arithmetic mean ± SD.
Normally distributed variables were tested between groups using ANOVA and t-test, non-normal data were analyzed using the non-parametric Kruskal-Wallis and Mann–Whitney U test.
Non-normal data were log-transformed.
Non-normal data were log transformed prior to analysis.
