Reducing the probability of false positive research findings by pre-publication validation – Experience with a large multiple sclerosis database1 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
BMC Medical Research Methodology 2008, 8:18doi:10.1186/1471-2288-8-18
Additional filesAdditional 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. Format: PDF Size: 74KB Download file This file can be viewed with: Adobe Acrobat Reader |




on Google Scholar







author email
corresponding author email