title: CORA--a knowledge-based system for the analysis of case-control studies.
abstract: Carrying 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 regarding 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 case-control 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.
authors: Department of Computer Science VIII, University of Dortmund, Germany.
authors: K
authors: K
authors: Morik
authors: I
authors: I
authors: Pigeot
authors: U
authors: U
authors: Robers
mesh_terms: D016022:Case-Control Studies; D003198:Computer Simulation; D005103:Expert Systems; D006801:Humans; D015233:Models, Statistical; D009010:Monte Carlo Method