Boosting the discriminatory power of sparse survival models via optimization of the concordance index and stability selection

BMC Bioinformatics

Volumn 17, Issue 1, 2016, Pages

  Mayr, Andreas ^a,b   Hofner, Benjamin ^a   Schmid, Matthias ^b  

^a UNIVERSITY OF ERLANGEN NUREMBERG   (Germany)

^b UNIVERSITY OF BONN   (Germany)

Author keywords

Boosting; Concordance index; High dimensional data; Stability selection; Time to event data; Variable selection

Indexed keywords

BIOMARKERS; CLUSTERING ALGORITHMS; DIAGNOSIS; DISCRIMINATORS; FORECASTING; GENE EXPRESSION; GENES; OPTIMIZATION; REGRESSION ANALYSIS;

BOOSTING; CONCORDANCE INDEX; HIGH DIMENSIONAL DATA; STABILITY SELECTIONS; TIME TO EVENTS; VARIABLE SELECTION;

STABILITY;

BIOLOGICAL MARKER; TRANSCRIPTOME;

ALGORITHM; BREAST NEOPLASMS; DISCRIMINANT ANALYSIS; FEMALE; HUMAN; METABOLISM; METASTASIS; MORTALITY; PATHOLOGY; PROGNOSIS; PROPORTIONAL HAZARDS MODEL; SURVIVAL ANALYSIS; THEORETICAL MODEL;

ALGORITHMS; BIOMARKERS; BREAST NEOPLASMS; DISCRIMINANT ANALYSIS; FEMALE; HUMANS; MODELS, THEORETICAL; NEOPLASM METASTASIS; PROGNOSIS; PROPORTIONAL HAZARDS MODELS; SURVIVAL ANALYSIS; TRANSCRIPTOME;

EID: 84979031616     PISSN: None     EISSN: 14712105     Source Type: Journal    
DOI: 10.1186/s12859-016-1149-8     Document Type: Article

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