CORA - a knowledge based system for the analysis of case control studies

dc.contributor.authorRobers, Ursulade
dc.date.accessioned2004-12-06T12:53:40Z
dc.date.available2004-12-06T12:53:40Z
dc.date.created1996de
dc.date.issued1999-10-29de
dc.description.abstractCarrying out a statistical analysis the researcher is concerned with the problem of choosing an appropriate statistical technique from a large number of competing methods. Most common statistical software offer different methods for analysing the data without giving any support concerning the adequacy of a method for a particular data set. This paper outlines the main features of the computer system CORA which provides a statistical analysis of stratified contingency tables and additionally supports the researcher at the different steps of this analysis. Here, the support given by the system consists of two different aspects. On the one hand, the help system of CORA contains general information on the implemented statistical methods which can be obtained on request. On the other hand an advice tool recommends an adequate statistical method which depends on the actual empirical casecontrol data to be analysed. To build up the advice tool a set of rules being discovered by machine learning from simulation studies is integrated into the system CORA. The paper is written in English.en
dc.format.extent2521820 bytes
dc.format.extent269979 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypeapplication/postscript
dc.identifier.issn0943-4135de
dc.identifier.urihttp://hdl.handle.net/2003/2593
dc.identifier.urihttp://dx.doi.org/10.17877/DE290R-12159
dc.language.isoende
dc.publisherUniversität Dortmundde
dc.relation.ispartofseriesForschungsberichte des Lehrstuhls VIII, Fachbereich Informatik der Universität Dortmund ; 21de
dc.subject.ddc004de
dc.titleCORA - a knowledge based system for the analysis of case control studiesen
dc.typeTextde
dc.type.publicationtypereport
dcterms.accessRightsopen access

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