title: Mathematical-statistical concepts for modelling and prediction of longterm follow-up.
abstract: Newer statistical methods for modeling and prediction of long-term follow-up in schizophrenia are presented. These include the extended Cox model, the Generalized Estimating Equations (GEE) method and the Artificial Neural Networks (ANN) approach.
authors.affiliation: Department of Medical Informatics and Biomathematics, University Clinic Münster, Domagkstrasse 9, 48129 Münster, Germany. kopcke@uni-muenster.de
authors.forename: W
authors.initials: W
authors.lastname: Köpcke
authors.forename: S
authors.initials: S
authors.lastname: Ahrens
authors.forename: M
authors.initials: M
authors.lastname: Eisenacher
authors.forename: S
authors.initials: S
authors.lastname: Seuchter
mesh_terms: D003627:Data Interpretation, Statistical; D005500:Follow-Up Studies; D006801:Humans; D008137:Longitudinal Studies; D008954:Models, Biological; D016571:Neural Networks, Computer; D012559:Schizophrenia / Q000628:therapy