Application of penalized linear regression methods to the selection of environmental enteropathy biomarkers.

ABSTRACT:

Background

Environmental Enteropathy (EE) is a subclinical condition caused by constant fecal-oral contamination and resulting in blunting of intestinal villi and intestinal inflammation. Of primary interest in the clinical research is to evaluate the association between non-invasive EE biomarkers and malnutrition in a cohort of Bangladeshi children. The challenges are that the number of biomarkers/covariates is relatively large, and some of them are highly correlated.

Methods

Many variable selection methods are available in the literature, but which are most appropriate for EE biomarker selection remains unclear. In this study, different variable selection approaches were applied and the performance of these methods was assessed numerically through simulation studies, assum

SUBMITTER: Lu M 

PROVIDER: S-EPMC5345248 | biostudies-literature | 2017

REPOSITORIES: biostudies-literature