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

Biomarker Research

Volumn 5, Issue 1, 2017, Pages

  Lu, Miao ^a   Zhou, Jianhui ^a   Naylor, Caitlin ^b   Kirkpatrick, Beth D ^c   Haque, Rashidul ^d   Petri, William A ^b   Ma, Jennie Z ^a  

^a UNIVERSITY OF VIRGINIA   (United States)

^b UNIVERSITY OF VIRGINIA   (United States)

^c UNIVERSITY OF VERMONT COLLEGE OF MEDICINE   (United States)

^d INTERNATIONAL CENTRE FOR DIARRHOEAL DISEASE RESEARCH   (Bangladesh)

Author keywords

Biomarker selection; Correlated covariates; Environmental enteropathy; Malnutrition; Penalized linear regression

Indexed keywords

ACTIVIN; BIOLOGICAL MARKER; C REACTIVE PROTEIN; CALGRANULIN; CD14 ANTIGEN; EARLY GROWTH RESPONSE FACTOR; FERRITIN; LIPOPOLYSACCHARIDE; MANNITOL; MYELOPEROXIDASE; RETINOL BINDING PROTEIN;

ARTICLE; BODY HEIGHT; BOOTSTRAPPING; CHILD GROWTH; ENTERITIS; ENTEROPATHY; FACTORIAL DESIGN; FEMALE; HEIGHT; HOUSEHOLD INCOME; HUMAN; INFANT; INFLAMMATION; INTESTINE ABSORPTION; LINEAR REGRESSION ANALYSIS; MAJOR CLINICAL STUDY; MALNUTRITION; MATERNAL WELFARE; PRIORITY JOURNAL; RETROSPECTIVE STUDY; RISK FACTOR; SIMULATION;

EID: 85021816439     PISSN: None     EISSN: 20507771     Source Type: Journal    
DOI: 10.1186/s40364-017-0089-4     Document Type: Article

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