Bayesian variable selection for high dimensional predictors and self-reported outcomes - Gu, Xiangdong; Tadesse, Mahlet G; Foulkes, Andrea S; Ma, Yunsheng; Balasubramanian, Raji (BMC medical informatics and decision making, 2020)
Keywords: African Americans; Algorithms; Bayes Theorem; Bayesian analysis; Bayesian variable selection; Clinical trials; Computer simulation; Datasets; Diabetes; Diabetes mellitus; Diabetes mellitus (non-insulin dependent); Diabetes Mellitus, Type 2 - diagnosis; Diabetes Mellitus, Type 2 - epidemiology; Diabetes Mellitus, Type 2 - genetics; Diagnostic systems; Diagnostic tests; Feature selection; Female; Generalized linear models; Health informatics; Health risks; High dimensional data; Hispanic American women; Hispanic Americans; Human papillomavirus; Humans; Laboratories; Medical errors; Minority & ethnic groups; Nucleotides; Patient Reported Outcome Measures; Pediatrics; Polymorphism, Single Nucleotide; Prospective Studies; Random variables; Self Report; Self-reports; Single nucleotide polymorphisms; Single-nucleotide polymorphism; Source code; Type 2 diabetes; Women's studies; Womens health; Self-reports; Bayesian variable selection; High dimensional data