Comparison of multivariate adaptive regression splines and logistic regression in detecting SNP-SNP interactions and their application in prostate cancer

Journal of Human Genetics

Volumn 53, Issue 9, 2008, Pages 802-811

  Lin, Hui Yi ^a   Wang, Wenquan ^a   Liu, Yung Hsin ^b   Soong, Seng Jaw ^a   York, Timothy P ^c   Myers, Leann ^d   Hu, Jennifer J ^e  

^a UNIVERSITY OF ALABAMA AT BIRMINGHAM   (United States)

^b SYNEOS HEALTH   (United States)

^c VIRGINIA COMMONWEALTH UNIVERSITY   (United States)

^d TULANE UNIVERSITY   (United States)

^e UNIVERSITY OF MIAMI   (United States)

Author keywords

Epistasis; Gene gene interaction; MARS; Multivariate adaptive regression splines; Power; Simulation

Indexed keywords

ARTICLE; BOOTSTRAPPING; CANCER RISK; CONTROLLED STUDY; GENE INTERACTION; GENOTYPE; HUMAN; INTERMETHOD COMPARISON; LOGISTIC REGRESSION ANALYSIS; MALE; MATHEMATICAL MODEL; MULTIVARIATE ADAPTIVE REGRESSION SPLINES; MULTIVARIATE ANALYSIS; PROSTATE CANCER; SIMULATION; SINGLE NUCLEOTIDE POLYMORPHISM;

CASE-CONTROL STUDIES; COMPUTER SIMULATION; EPISTASIS, GENETIC; EUROPEAN CONTINENTAL ANCESTRY GROUP; GENE FREQUENCY; GENOTYPE; HUMANS; LOGISTIC MODELS; MALE; MODELS, GENETIC; POLYMORPHISM, SINGLE NUCLEOTIDE; PROSTATIC NEOPLASMS; RISK FACTORS; XERODERMA PIGMENTOSUM GROUP D PROTEIN;

EID: 50249119020     PISSN: 14345161     EISSN: None     Source Type: Journal    
DOI: 10.1007/s10038-008-0313-z     Document Type: Article

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