The phrase "as exploratory variables" is correct and usable in written English.
It can be used in contexts related to research, statistics, or data analysis where variables are being examined for their potential relationships or effects.
Example: "In our study, we included several factors as exploratory variables to better understand their impact on the outcome."
Alternatives: "as investigational variables" or "as probing variables".
However, R2 improves as exploratory variables are being added to the model, which might lead to artificially inflated R2 values.
We then apply multiple linear regression using the PCs derived in the previous step as exploratory variables and the signature effectiveness as response variable.
Analysis is facilitated by a dataset of urban land information in period 1993 2012 (derived from time-series nighttime light imageries) as the independent variable, and an equivalent dataset of 33 determinants of four categories (economic, demographic, social and natural) as exploratory variables.
In addition to known associates of adiponectin levels including age, gender, BMI, waist circumference, diagnosis of diabetes, renal function, and use of TZD, we included use of medications associated with adiponectin in other populations (ACEI and ARB, acetylsalicylic acid, and statins) as exploratory variables.
2012 The factors defining the subgroups examined were predefined in the Statistical Analysis Plan of the SSGXVIII/AIO study, 2012 except for the subgroups based on the body mass index and the time from the date of surgery to the date of randomization, which were included as exploratory variables of potential interest.
Variables with P<0.05 for either Tourette syndrome or Tourette syndrome/chronic tic disorder in the global model were interpreted as putative risk factors, with highest confidence placed in confirmatory variables, as well as exploratory variables with the same direction of effect for both nested phenotypes.
Denby et al. (2005) recently recommended a method that uses measured concentration data in combination with some "exploratory variables" as suggested above.
We first constructed a linear regression model on IQS with aASM as an exploratory variable, adjusting for age and gender (Model 1).
BMD was also assessed as an exploratory variable in the phase I/II study of velaglucerase alfa, and there was consistent improvement over time [ 38].
Specifically, we used ordinary least squares (OLS), included the lagged dependent variable as an exploratory variable, and used the Newey-West procedure to calculate heteroskedasticity- and autocorrelation-consistent SEs for the regression coefficients.
Next, for each comorbidity, we built two additional linear regression models on IQS, one with the studied comorbidity as an exploratory variable, adjusting for aASM, age and gender (Model 2), and another with all variables in Model 2, plus the interaction between aASM and the comorbidity of interest (Model 3).
