The phrase "a combination of predictors" is correct and usable in written English.
It can be used when discussing statistical models, machine learning, or any context where multiple factors are being considered together to make predictions.
Example: "The study utilized a combination of predictors to enhance the accuracy of the forecasting model."
Alternatives: "a set of predictors" or "a mix of predictors".
This is the first study to conduct sex-specific longitudinal analyses in a paediatric headache sample of children and adolescents (9 to 14 years old at first wave) using this kind of method and a combination of predictors.
In this study we used Mallow's C p statistics [67], a combination of predictors that minimizes the Mallow C p over all possible subsets, was considered as the best subset for model development.
A combination of predictors seems more important than single predictors [ 37, 38].
In all patients, the prognosis after cardiac arrest treated with TH was determined based on a combination of predictors of poor neurological outcome.
The methods described here can be extended to other health conditions to identify a combination of predictors collected from a clinical history, examination or laboratory testing.
In this study we used Mallow's C p statistics [ 67], a combination of predictors that minimizes the Mallow C p over all possible subsets, was considered as the best subset for model development.
Any stepwise analysis could result in a combination of predictor variables that apply only to that dataset, and so such results need to be replicated in an independent dataset.
To enhance the accuracy of questionnaires, scoring systems to identify asthma in large population surveys using a combination of predictor variables collected by questionnaires have been developed [ 14, 15].
In that study, a combination of clinical predictors and biomarkers had the best performance for predicting mortality in patients with ARDS compared to clinical predictors or biomarkers alone [13].
Through a combination of childhood predictors, the model correctly classified 82%2727 of 33) of the participants who eventually developed a psychosis-spectrum outcome in adulthood.
By AUROC analyses, the addition of complete blood count criteria and chest radiograph results to a combination of clinical predictors allowed for greater diagnostic accuracy.
