However, most of biomonitoring surveys do not account for other environmental variables (predictors in a statistical model) and their inherent multicollinearity with ozone.
This study sought to investigate the age at natural menopause and its predictors in a cohort of human immunodeficiency virus (HIV -infected women in Rio de Janeiro, Brazil.
To handle this uncertainty effectively, we introduce a novel input variable selection algorithm, called Wrapper for Quasi Equally Informative Subset Selection (W-QEISS), specifically conceived to identify all alternate subsets of predictors in a given dataset.
Hoffman, R.E., Gueorguieva, R., Hawkins, K.A., Varanko, M., Boutros, N.N., Wu, Y.-T., Carroll, K., Krystal, J.H.. Temporoparietal transcranial magnetic stimulation for auditory hallucinations: safety, efficacy and predictors in a fifty patient sample.
We present a Bayesian variable selection method for the setting in which the number of independent variables or predictors in a particular dataset is much larger than the available sample size.
To analyse predictors of heroin abstinence in opiate substitution therapy (OST) based on frequency of crack use and its interactions with other predictors in a clinical non-experimental setting.
We then linked sage-grouse resource selection to individual nest (n = 95) and brood (n = 56) success by incorporating random-slope Resource Selection Functions as explanatory predictors in a logistic brood success model.
To evaluate early and late lung function abnormalities and their predictors in a large sample of children who underwent bone marrow transplantation (BMT) for leukemias in the 1990s, highlighting changes with respect to the 1980s.
This was important as the factor scores were later used as predictors in a regression analysis.
Inclusion of these predictors in a prognostic model for recidivism considerably improved discriminative capacity.
They allow describing the importance of multicollinearity (correlation between predictors) in a regression analysis.
