High-dimensional cox models: The choice of penalty as part of the model building process

Biometrical Journal

Volumn 52, Issue 1, 2010, Pages 50-69

  Benner, Axel ^a   Zucknick, Manuela ^a   Hielscher, Thomas ^a   Ittrich, Carina ^a,b   Mansmann, Ulrich ^c  

^a GERMAN CANCER RESEARCH CENTER DKFZ   (Germany)

^b BOEHRINGER INGELHEIM PHARMA GMBH AND CO KG   (Germany)

^c UNIVERSITY OF MUNICH   (Germany)

Author keywords

High dimensions; Model selection; Penalized proportional hazards; Predictive

Indexed keywords

DIAGNOSIS; HAZARDS; MODEL BUILDINGS; REGRESSION ANALYSIS; STATISTICS;

ADAPTIVE LASSOS; BUILDING PROCESS; COVARIATES; HIGHER DIMENSIONS; MODEL SELECTION; PENALIZED PROPORTIONAL HAZARD; PREDICTIVE; PROPORTIONAL HAZARDS; REGRESSION MODELLING; SMOOTHLY CLIPPED ABSOLUTE DEVIATION;

CLUSTERING ALGORITHMS;

ACUTE GRANULOCYTIC LEUKEMIA; ARTICLE; BREAST TUMOR; COMPUTER SIMULATION; FEMALE; GENE EXPRESSION; GENETICS; HUMAN; PROPORTIONAL HAZARDS MODEL; SURVIVAL;

BREAST NEOPLASMS; COMPUTER SIMULATION; FEMALE; GENE EXPRESSION; HUMANS; LEUKEMIA, MYELOID, ACUTE; PROPORTIONAL HAZARDS MODELS; SURVIVAL ANALYSIS;

EID: 77952566299     PISSN: 03233847     EISSN: 15214036     Source Type: Journal    
DOI: 10.1002/bimj.200900064     Document Type: Article

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