The phrase "a list of predictors" is correct and usable in written English.
You can use it when referring to a collection of variables or factors that are used to predict an outcome in a study or analysis.
Example: "In our research, we compiled a list of predictors that could influence the results of the experiment."
Alternatives: "a set of predictors" or "a collection of predictors."
The present study approaches the environmental assessment of landscapes in two steps: first, through the determination of the relevant characteristics that influence the perception of a sample of galician landscapes, in north-western spain, using both quantitative data and categorical data; and second, by obtaining a list of predictors of scenic beauty for a sample of landscapes.
Following is a list of predictors and our rational for including them.
On the basis of these analyses, regression analyses were carried out (see Supplementary Materials, for a list of predictors) in SPSS 19.0.
It can study any list of predictors (binary, categorical, continuous), requires no explicit structural specification of the model, no specification of interactions, and is scalable to very large sets of predictors, for example over a million single nucleotide polymorphisms (SNPs) in genome-wide association studies.
Each classifier searches on a list of feature predictors until the first matching one has been found.
Similar to previous prognostic consensus studies[ 8, 9], first a list of potential predictors based on a systematic review[ 12] was composed.
80– 83 Lanza et al firstly reported a list of 27 predictors of mRNA/miRNA that can discriminate MSI-high (MSI-H) from MSS tumors.
To assist our panel members in selecting prognostic factors we provided them with a resource, i.e., a list of potential predictors based on a previous systematic review[ 12].
From a list of potential predictor variables, the final risk model contained seven variables that were retained by the statistical elimination process.
We compiled a list of potential predictor variables, which included established risk factors for each outcome from the literature or existing risk prediction scores, using similar definitions when possible.
Using the development data sets for the three sub-groups, we investigated a comprehensive list of predictors known to be potentially associated with chlamydia infection in an initial model.
