Tumor "intrinsic" subtype was determined for each sample using the 306 gene Centroid Predictor described in Hu et al. [ 71]; the subtype classifications used for the NKI295 sample set were also derived from this same centroid predictor and are described in Fan et al. [ 83].
As such, individual predictors derived from this model may not be informative when they are evaluated for their ability to predict overall survival.
Thus unlike other methods described above, the parameter estimates in each regression account for those derived from abiotic environmental predictors, biotic predictors, and spatial structure in the species data.
Future analysis should focus on the combination of metabolic markers, immunological markers, and/or genetic markers to improve the modest PPVs derived from solitary predictors.
To avoid "overlap" in predictors and issues with co-linearity, variables derived from predictors already included in the model (total scores for the PANSS and QLS scales, remission status, and baseline category) were not used in the multiple regression model.
Secondly, the PMHI is derived from predictors of 90DM, which is a clinically relevant and distinct endpoint compared to OS. Whereas, the RMI, which was derived from predictors of OS was superior in predicting OS in our cohort.
Therefore, we developed a "simple" clinical score derived from the significant predictors of an adverse 30-day outcome at univariable logistic regression (excluding echocardiographic information on RV function).
When patients were categorized by risk scores derived from selected clinical predictors into low (scores ≤7) and high (scores >7) TB risk groups, a positive ICT-TB test increased the positive predictive value nonsignificantly in the low risk group (from 12.5% to 27.3%, P = 0.17) and the high risk group (from 78.6%too 80.8%, P = 0.73).
This reflects the typical situation of a model containing a predictor derived from high-dimensional data: since this predictor (omics score) has been constructed (variable selection and weight estimation) and its regression coefficient estimated in the same set (the training set), the overfitting issue largely affects the combined model.
Two scaled factors are adaptively defined according to the radius, for the lengths of those two initial search points can be easily derived from the original motion predictor, as shown in Table 2.
Problems caused by collinearity have been traditionally reduced by removing highly correlated explanatory variables during model creation or by using principal components analysis (PCAs) taking the factors derived from the PCA as predictor variables [2].
