The phrase "all variables required for" is correct and usable in written English.
It can be used when discussing the necessary elements or factors needed for a specific process, analysis, or function.
Example: "In order to complete the experiment, we must identify all variables required for accurate results."
Alternatives: "all necessary variables for" or "all essential variables for".
All variables required for the current analyses were available in 1275 study participants.
We used this group of patients as a comparison group because we routinely measured all variables required for the analysis such as lactate and phosphate in these patients.
APACHE II was selected in lieu of APACHE III because not all variables required for APACHE III were available in our floor patients.
Data from 1,162 of the 1,294 participants who had all variables required for the validation study were used to validate the risk scores.
25% (n=3451) of ALSPAC mothers had provided sufficient data to determine full reproductive history of these, 1477 had two live births, with 54% mothers having non-missing data on all variables required for our analyses.
The present study included 27,157 mothers (61.9%) with all information, who underwent oral glucose tolerance test (OGTT) during 26 30 weeks of gestation after excluding 33 mothers who were diagnosed with diabetes before pregnancy, 3,734 mothers missing glucose challenge test (GCT), 2,689 mothers missing OGTT, and 10,241 mother-child pairs missing any variables required for this analysis.
One hundred ten subjects had complete data on all measures and variables required for the analysis.
Multivariable analysis was based on patients having information on all the study variables required for model building (significant on univariable analysis or having biological significance).
The 2010 NHIS is the most recent year of the survey that included all of the variables required for the current study.
In addition to other clinical data, all patients included in the validation population had the variables required for the attribute matching process as well as the logistic regression.
For all statistical procedures, analyses were restricted to individuals with complete information on the variables required for a particular analysis.
