The phrase "a variable of interest" is correct and usable in written English.
It is typically used in research or statistical contexts to refer to a specific variable that is being studied or analyzed.
Example: "In this study, we will focus on age as a variable of interest to understand its impact on health outcomes."
Alternatives: "a key variable" or "a focal variable".
The former strategy allows decoupling a variable of interest without affecting it with non-minimum phase dynamics.
Marcel Boumans explains how macroeconomists are able to isolate a variable of interest from external influences by tuning parameters in a model of the macroeconomic system.
A variable of interest among patients emerging alive from the ICU and hospital should probably be the possibility of reinstating optimal oncological treatment course.
Once a variable of interest is "filled‐in", that variable, along with the variables for which there is complete data, is used in the sequence to fill in another variable.
Recently, Shin et al. (2011) advance a nonlinear ARDL cointegration approach (NARDL) as an asymmetric extension to the well-known ARDL model of Pesaran and Shin (1999) and Pesaran et al. (2001), to capture both long run and short run asymmetries in a variable of interest.
Thanks to this dual-task paradigm, we computed as a variable of interest the cost of the motor task on the discrimination sensitivity (d') relative to a control condition where the discrimination task was performed in isolation.
Therefore, plant species richness in urban environments is a variable of considerable interest to landscape planners and conservation biologists.
Age was a variable of specific interest as it naturally increases with time since immigration.
Because diabetes mellitus is a variable of primary interest in this study, diabetes with or without complications was not counted in the Charlson index.
Following Schreuder et al. (1987), many double sampling estimators assume that, over the population as a whole, a linear regression model relates a target variable of interest (Y) to an auxiliary variable (X) as.
There are several ways to remove confounding from observed associations between a predictor variable of interest and an outcome, the most popular being adding the confounder as a separate main effect, in addition to the predictor variable of interest, in a multiple regression model with the response variable as a dependent variable.
