Strategies for developing prediction models from genome-wide association studies

Genetic Epidemiology

Volumn 37, Issue 8, 2013, Pages 768-777

  Wu, Jincao ^a   Pfeiffer, Ruth M ^a   Gail, Mitchell H ^a  

^a NATIONAL CANCER INSTITUTE   (United States)

Author keywords

AUC; Discriminatory accuracy; GWAS; Probability of correct classification; Risk prediction; ROC curve

Indexed keywords

ACCURACY; ARTICLE; BIOMEDICAL DISCIPLINES, SCIENCE AND ART; CROHN DISEASE; DISEASE ASSOCIATION; GENE FREQUENCY; GENE LINKAGE DISEQUILIBRIUM; GENETIC ASSOCIATION; GENETIC LINKAGE; HEREDITY; HUMAN; MODEL; RARE DISEASE; RISK ASSESSMENT; SIMULATION; SINGLE NUCLEOTIDE POLYMORPHISM; THEORY;

AUC; DISCRIMINATORY ACCURACY; GWAS; PROBABILITY OF CORRECT CLASSIFICATION; RISK PREDICTION; ROC CURVE;

AREA UNDER CURVE; CROHN DISEASE; GENE FREQUENCY; GENETIC PREDISPOSITION TO DISEASE; GENOME-WIDE ASSOCIATION STUDY; GENOTYPE; HUMANS; LINKAGE DISEQUILIBRIUM; MALE; MODELS, GENETIC; ODDS RATIO; POLYMORPHISM, SINGLE NUCLEOTIDE; PROSTATIC NEOPLASMS; RARE DISEASES; REPRODUCIBILITY OF RESULTS; ROC CURVE;

EID: 84887605920     PISSN: 07410395     EISSN: 10982272     Source Type: Journal    
DOI: 10.1002/gepi.21762     Document Type: Article

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