The phrase "a minimum set of variables" is correct and usable in written English.
It can be used in contexts where you are discussing the least number of variables needed for a particular analysis, model, or experiment.
Example: "To simplify the experiment, we decided to work with a minimum set of variables to ensure clarity in our results."
Alternatives: "a basic set of variables" or "the essential variables needed".
In addition, observers were trained to identify a minimum set of variables related to the description of the transgressors: crossing pace walking versus speeding/running; social influences crossing alone vs. in group, journey purpose on the way to catch a train (yes vs. no, where possible to identify).
Data from participating clinics are validated to ensure accuracy and completeness for a minimum set of variables.
Importantly, none of the above-described studies allow deriving a minimum set of variables and their interactions required to classify a given data set.
The diversity among the different studies shows that restricting research data to a minimum set of variables and instruments will not cover research needs.
In general, it is concluded that GMDH provides more accurate and reliable estimates of cumulative infiltration (a non-readily available characteristic of soil) with a minimum set of input variables (2 4 input variables) and can be promising strategy to model soil infiltration combining the advantages of ANN and MLR methodologies.
The solid-shell formulation involves a minimum set of enhancing variables, resulting in a competitive approach when compared with other fully integrated hexahedral solid-shell elements in the literature.
Our base model includes a minimum set of explanatory variables, including individual (daughter's birth year and birth order), maternal (year of birth, circumcision status, age at first marriage, number of children ever born, religion), and household-level (household size, governorate and urban/rural) demographic characteristics.
Develop procedures to guarantee regular analysis, reporting, and use of a minimum set of key SLMAD variables by DMAOs and other stakeholders.
We propose a minimum set of epidemiologic and clinical variables that should be among the top priorities when designing data collection protocols related to SARS interventions.
These data, which are displayed in Table 1, constitute the minimum set of variables that can be extracted from the thermal profiles in order to characterize the marble samples in order to differentiate them.
However, this procedure could not be applied for every variable since there needs to be a minimum set of reliable information to calculate a basic prognosis.
