The phrase "as for categories" is correct and usable in written English.
It can be used to introduce a discussion or explanation about specific categories in a broader context.
Example: "As for categories, we can classify the data into three main groups: demographics, behaviors, and preferences."
Alternatives: "regarding categories" or "concerning categories".
Statistical analyses of fatty acids were performed for separate as well as for categories of fatty acids.
We described baseline patient characteristics using means and standard deviations for normally distributed continuous variables, medians and interquartile ranges for non-normally distributed data, and counts and proportions for categorical data for the overall cohort as well as for categories of low (<5.5 %), moderate (5.5 to <7 %), and high (≥7 %) levels of HbA1c.
The test conditions and apparatus setup were as for the category assimilation task.
The same data files and candidate lists were provided as for Category 2, but any form of additional information could be used (retention time information, mass spectral libraries, patents, reference count, etc).
GO analysis was performed the same way as for category "total wild-type" described in Table 1 legend.
Confounding factors comprised maternal age at delivery, socioeconomic status (classified according to the Carstairs index as "deprived" for categories 4 and above and "not deprived" for categories 1-3).
Excerpts of text were extracted from the transcripts and used as labels for categories emerging from the data (eg: 'potential difficulties').
In this review, potential of cellulolytic fungi as candidates for category I CBP is discussed.
To date, the method of GS bases has been adapted, in particular, to the following classes of linear universal algebras, as well as for operads, categories, and semirings.
This represents a breakthrough in personalisation for categories such as travel".
For continuous variables, such as age in years or scale scores, the odds ratio for a particular category, as well as for between-category changes, appear small in magnitude because the OR is for each 1-unit change.
