This ensured that the entire data range of the predictor variables was sampled on the ground and resulted in better predictions by the LiDAR-derived regression models.
For each predictor, 1028 equidistant points were sampled over the ranges given in Table C2.
Individual time courses from these seed ROIs were sampled from each of the sighted participants, z-normalized and used as individual predictors in group random-effect GLM analysis.
Bivariate analyses and rANOVA demonstrated that major predictors of endotoxin concentration were sampling location in the home, census division, educational attainment, presence of children, current dog ownership, resident-described problems with cockroaches, food debris, cockroach stains, and evidence of smoking observed by field staff.
The use and type of complementary medications, elements of personal health profile (drug type, medication count, the absence versus presence of a chronic physical health condition, and psychiatric morbidity) were used as predictors, as were sample demographics (age, sex, ethnicity, marital status, education, and poverty index).
In a random forest, CARTs are grown to full size on bootstrap samples from the data and a random sample of the predictors are used in determining the splits for the individual CARTs.
With current sample size, risk predictors are not useful in a clinical setting but already are a valuable research tool, for example in experimental designs comparing cases with high and low polygenic risk.
A complete tree with all branches is grown for each sample, and the predictors are applied to each branch [24].
We consider the problem of testing significance of predictors in quantile regression, where the sample size n and the number of predictors are allowed to increase together.
Other predictors are more surprising.
