title: Bagging optimal ROC curve method for predictive genetic tests, with an application for rheumatoid arthritis.
authors.affiliation: Department of Epidemiology, Michigan State University, East Lansing, Michigan, USA. qlu@epi.msu.edu
authors.forename: Qing
authors.initials: Q
authors.lastname: Lu
authors.forename: Yuehua
authors.initials: Y
authors.lastname: Cui
authors.forename: Chengyin
authors.initials: C
authors.lastname: Ye
authors.forename: Changshuai
authors.initials: C
authors.lastname: Wei
authors.forename: Robert C
authors.initials: RC
authors.lastname: Elston
mesh_terms: D001172:Arthritis, Rheumatoid / Q000175:diagnosis* / Q000235:genetics*; D003198:Computer Simulation; D003627:Data Interpretation, Statistical; D005787:Gene Frequency; D005819:Genetic Markers; D020022:Genetic Predisposition to Disease; D005820:Genetic Testing / Q000706:statistics & numerical data*; D055106:Genome-Wide Association Study / Q000706:statistics & numerical data; D006801:Humans; D016015:Logistic Models; D015233:Models, Statistical; D011237:Predictive Value of Tests; D012372:ROC Curve; D012307:Risk Factors; D018709:Statistics, Nonparametric
chemical_list: D005819:Genetic Markers