Tailoring sparse multivariable regression techniques for prognostic single-nucleotide polymorphism signatures

Statistics in Medicine

Volumn 32, Issue 10, 2013, Pages 1778-1791

  Binder, H ^a,b   Benner, A ^c   Bullinger, L ^d   Schumacher, M ^b  

^a JOHANNES GUTENBERG UNIVERSITY   (Germany)

^b UNIVERSITY OF FREIBURG   (Germany)

^c GERMAN CANCER RESEARCH CENTER DKFZ   (Germany)

^d UNIVERSITY HOSPITAL ULM   (Germany)

Author keywords

Boosting; Multivariable model; Risk prediction; Single nucleotide polymorphisms; Treatment interaction

Indexed keywords

ACUTE GRANULOCYTIC LEUKEMIA; ANALYSIS OF VARIANCE; ARTICLE; CANCER PROGNOSIS; CANCER SURVIVAL; DATA ANALYSIS; GENE FREQUENCY; GENE INTERACTION; HUMAN; MATHEMATICAL MODEL; MEASUREMENT ERROR; PLOTS AND CURVES; SINGLE NUCLEOTIDE POLYMORPHISM; SPARSE MULTIVARIABLE REGRESSION TECHNIQUE; STATISTICAL ANALYSIS; SURVIVAL PREDICTION;

ALGORITHMS; BIOSTATISTICS; GENE FREQUENCY; GENOMICS; HUMANS; LEUKEMIA, MYELOID, ACUTE; LIKELIHOOD FUNCTIONS; MODELS, STATISTICAL; MULTIVARIATE ANALYSIS; POLYMORPHISM, SINGLE NUCLEOTIDE; PROGNOSIS; REGRESSION ANALYSIS;

EID: 84876443924     PISSN: 02776715     EISSN: 10970258     Source Type: Journal    
DOI: 10.1002/sim.5490     Document Type: Article

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