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Home arrow Departments arrow Theoretical Methods arrow Department Projects arrow Statistical methods and algorithms for exhaled breath analysis
Statistical methods and algorithms for exhaled breath analysis

Project of the Slovak Research and Development Agency (APVV) RPEU-0008-06

Duration of the project: 02/2007 - 01/2009 

Principal investigator: Doc. RNDr. Viktor Witkovský, CSc.

Acronym of the project: SMEBA

Financial support: 870 776,- SKK

Project of the Slovak Research and Development Agency (APVV), agency call for invoked projects of the Framework Programmes of EU 2006

Project Summary

The project is aimed at basic research in the area of mathematical statistics. Emphasis is placed upon examination of new statistical inference methods appropriate for development of new effective algorithms for exhaled breath analysis in order to early detect certain types of diseases(e.g. lung cacer, oesophageal cancer, diabetes etc.). There exists a proof that certain types of diseases can be detected by a molecular analysis of exhaled breath. In this manner the project is joined directly with the international project 6RP EU BAMOD: Breath-gas analysis for molecular-oriented detection of minimal diseases.

The aim of the project "Statistical methods and algorithms for exhaled breath analysis" is mostly theoretical research oriented towards those areas of mathematical statistics that can be useful for development of new effective algorithms for analysis of data obtained in clinical studies planned during the project BAMOD. Above all, the following areas are concerned: methods for estimation of and testing hypotheses about parameters in mixed linear and nonlinear models, discrimination analysis, nonparametric methods.

 
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