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

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

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

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

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

⁵University Dept of Clinical Neurology, Oxford University, UK

author email corresponding author email

BMC Medical Research Methodology 2008, 8:18doi: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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