Comparison of Cox Model Methods in A Low-dimensional Setting with Few Events

Genomics, Proteomics and Bioinformatics

Volumn 14, Issue 4, 2016, Pages 235-243

  Ojeda, Francisco M ^a   Müller, Christian ^a,b   Börnigen, Daniela ^a,b   Trégouët, David Alexandre ^c,d   Schillert, Arne ^b,e   Heinig, Matthias ^f   Zeller, Tanja ^a,b   Schnabel, Renate B ^a,b  

^a UNIVERSITY HEART CENTER HAMBURG   (Germany)

^b DZHK GERMAN CENTRE FOR CARDIOVASCULAR RESEARCH   (Germany)

^c SORBONNE UNIVERSITÉ   (France)

^d ICAN Institute for Cardiometabolism and Nutrition   (France)

^e UNIVERSITY HOSPITAL SCHLESWIG HOLSTEIN   (Germany)

^f INSTITUTE OF EPIDEMIOLOGY   (Germany)

Author keywords

Coronary artery disease; Events per variable; Penalized regression; Proportional hazards regression

Indexed keywords

C REACTIVE PROTEIN; CREATININE; HIGH DENSITY LIPOPROTEIN CHOLESTEROL; LOW DENSITY LIPOPROTEIN CHOLESTEROL; BIOLOGICAL MARKER;

ADULT; AGE; ARTICLE; BODY MASS; CALIBRATION; CARDIOVASCULAR DISEASE; COHORT ANALYSIS; CORONARY ARTERY DISEASE; DIABETES MELLITUS; FEMALE; FOLLOW UP; GENDER; GENETIC ASSOCIATION; GENETIC VARIABILITY; HUMAN; HYPERTENSION; INTERMETHOD COMPARISON; MAJOR CLINICAL STUDY; MALE; MEASUREMENT ACCURACY; MIDDLE AGED; PREDICTIVE VALUE; PROGNOSIS; PROPORTIONAL HAZARDS MODEL; PROSPECTIVE STUDY; SIMULATION; SMOKING; SURVIVAL RATE; SURVIVAL TIME; BLOOD; GENETIC VARIATION; GENETICS; METABOLISM;

BIOMARKERS; CORONARY ARTERY DISEASE; GENETIC VARIATION; HUMANS; PROGNOSIS; PROPORTIONAL HAZARDS MODELS; PROSPECTIVE STUDIES;

EID: 84975140559     PISSN: 16720229     EISSN: 22103244     Source Type: Journal    
DOI: 10.1016/j.gpb.2016.03.006     Document Type: Article

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