Fibrinogen has been reported as a predictor, marker, and mediator of coronary conditions.
The main aim of the present study was to evaluate, for the first time in Spain, the value of hrHPV as a predictor marker of CIN2+ lesions.
IGF-1 was considered as a dyctomic variable at inclusion, not as a continuous one, therefore we cannot expect it to be a predictor marker of response.
This increase in the scale of molecular information results in data where, typically, the number of predictors (markers) is larger than the number of records (phenotypes).
Because the number of predictors (markers) is generally much higher than the sample size (P > > n), fixed regression methods using ordinary least squares cannot be used for developing prediction models.
The basic linear model (1) is generally overparameterized and therefore ill-conditioned because there are many more predictors (markers) than individuals with observations (p > > n), as well as strong collinearity among predictors due to linkage disequilibrium; hence X is not a full column rank.
In GS, typically I k represents a vector of predictors (marker genotypes or other information) collected on individual k (k = 1, 2, …, K), where K is the number of individuals in the analysis.
This is a tree-based method, that has been used for marker trait associations with human disease data, because it allows the ranking and selection among very large sets of predictor variables (markers) that best explain the phenotype [20], [21].
Markers of left ventricular dysfunction appear to be better predictors than markers of ischemia.
