BMC Medical Research Methodology

official impact factor 2.15

Open Access Research article

Reducing the probability of false positive research findings by pre-publication validation – Experience with a large multiple sclerosis database

Martin Daumer1*, Ulrike Held1, Katja Ickstadt2, Moritz Heinz3, Siegfried Schach4 and George Ebers5

Author Affiliations

1 Sylvia Lawry Centre for MS Research, Hohenlindener Str. 1, 81677 Munich, Germany

2 Department of Statistics, University of Dortmund, 44221 Dortmund, Germany

3 Institute for Medical Biometry, Epidemiology and Computer Science, Clinic of Gutenberg's University Mainz, Germany

4 Department of Statistics, University of Dortmund, 44221 Dortmund, Germany

5 University Dept of Clinical Neurology, Oxford University, UK

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BMC Medical Research Methodology 2008, 8:18 doi:10.1186/1471-2288-8-18

Published: 10 April 2008

Additional files

Additional file 1:

Validation policy of the Sylvia Lawry Centre for Multiple Sclerosis Research entitled "Maintaining high quality of statistical evaluations based on the SLCMSR database. Validation Procedure of the SLCMSR" by Schach S, Daumer M, Neiss A (2003). This paper provides the basis for this manuscript and is also available at the homepage of the SLCMSR http://www.slcmsr.net/download/publikationen/Validation_Policy.pdf webcite.

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