title: For an always promising transplant prediction, call ANN.
abstract: With apologies to Sherlock Holmes, "You can never foretell when any one man's kidney transplant will fail, but you can say with precision when an average number will fail. ... So says the statistician."
authors.affiliation: Department of Pathology and Laboratory Medicine, UCLA Immunogenetics Center, David Geffen School of Medicine at UCLA, Los Angeles, CA 90095, USA. gjertson@ucla.edu
authors.forename: David W
authors.initials: DW
authors.lastname: Gjertson
authors.forename: Bill D
authors.initials: BD
authors.lastname: Clark
mesh_terms: D000367:Age Factors; D002138:Calibration; D006801:Humans; D016030:Kidney Transplantation / Q000473:pathology / Q000502:physiology*; D015233:Models, Statistical; D009415:Nerve Net; D011110:Polymorphism, Genetic; D011379:Prognosis; D044469:Racial Groups; D012044:Regression Analysis; D012307:Risk Factors; D014180:Transplantation / Q000502:physiology*; D017211:Treatment Failure; D016896:Treatment Outcome