The phrase "a continuous predictor of" is correct and usable in written English.
It can be used in contexts where you are discussing a variable or factor that consistently forecasts or indicates an outcome.
Example: "The study found that a continuous predictor of academic success is the amount of time spent on homework."
Alternatives: "a constant indicator of" or "a steady forecaster of".
Future analyses may look at more fine-grained comparisons of all of these participants using map scores as a continuous predictor of eye-movement variability.
We also performed linear regression with plasma PON1 activity modeled as a continuous predictor of BuChE inhibition after stratification by Q192R genotype.
BMI z score over time was a continuous predictor of risk of islet autoimmunity (Table 2) and remained a continuous predictor of risk of islet autoimmunity after controlling for HLA type (adjusted HR 1.29 [95% CI 1.01 1.67] per unit increase in z, P = 0.04).
Weight z score over time was a continuous predictor of risk of islet autoimmunity (Table 2) and remained a continuous predictor of risk of islet autoimmunity after controlling for HLA type (adjusted HR 1.43 [95% CI 1.10 1.84] per unit increase in z, P = 0.007).
However, the incremental value (i.e. in addition to all known clinical predictors of CAD) of the CTCS as a continuous predictor of prevalent obstructive CAD is less well studied.
Using a three-tier grading system, RCB was found to be a continuous predictor of DFS, with the patients at highest risk having the highest category of RCB [ 15].
The Cox proportional hazards model was used to assess gap density as a continuous predictor for the risk of major clinical events.
The original Gail model incorporated 5-year intervals of age, but we entered age as a continuous predictor to minimize the number of predictors in our models.
The log linearity of the association was assessed by fitting a continuous predictor across quintiles of CRP.
While we used age as a continuous predictor, the number of patients for whom the effect was identified based on marginal effect plots was rather low (n = 8 participants ≥ 65 years, 2.4 %).
Though in practice a real ROC curve will have different odds ratios along the curve, the AUC of this "constant odds ratio" ROC curve is useful for comparing the odds ratio (which measures the association of a binary predictor, such as allele presence) with the AUC (which measures the association of a continuous predictor, such as the predicted proportion of cases).
