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

<p>Abstract</p> <p>Background</p> <p>Published false positive research findings are a major problem in the process of scientific discovery. There is a high rate of lack of replication of results in clinical research in general, multiple sclerosis research being no excep...

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Main Authors: Heinz Moritz, Ickstadt Katja, Held Ulrike, Daumer Martin, Schach Siegfried, Ebers George
Format: Article
Language:English
Published: BMC 2008-04-01
Series:BMC Medical Research Methodology
Online Access:http://www.biomedcentral.com/1471-2288/8/18
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spelling doaj-dd063771924342759acfc1aa355a1c412020-11-24T22:01:27ZengBMCBMC Medical Research Methodology1471-22882008-04-01811810.1186/1471-2288-8-18Reducing the probability of false positive research findings by pre-publication validation – Experience with a large multiple sclerosis databaseHeinz MoritzIckstadt KatjaHeld UlrikeDaumer MartinSchach SiegfriedEbers George<p>Abstract</p> <p>Background</p> <p>Published false positive research findings are a major problem in the process of scientific discovery. There is a high rate of lack of replication of results in clinical research in general, multiple sclerosis research being no exception. Our aim was to develop and implement a policy that reduces the probability of publishing false positive research findings.</p> <p>We have assessed the utility to work with a pre-publication validation policy after several years of research in the context of a large multiple sclerosis database.</p> <p>Methods</p> <p>The large database of the Sylvia Lawry Centre for Multiple Sclerosis Research was split in two parts: one for hypothesis generation and a validation part for confirmation of selected results. We present case studies from 5 finalized projects that have used the validation policy and results from a simulation study.</p> <p>Results</p> <p>In one project, the "relapse and disability" project as described in section II (example 3), findings could not be confirmed in the validation part of the database. The simulation study showed that the percentage of false positive findings can exceed 20% depending on variable selection.</p> <p>Conclusion</p> <p>We conclude that the validation policy has prevented the publication of at least one research finding that could not be validated in an independent data set (and probably would have been a "true" false-positive finding) over the past three years, and has led to improved data analysis, statistical programming, and selection of hypotheses. The advantages outweigh the lost statistical power inherent in the process.</p> http://www.biomedcentral.com/1471-2288/8/18
collection DOAJ
language English
format Article
sources DOAJ
author Heinz Moritz
Ickstadt Katja
Held Ulrike
Daumer Martin
Schach Siegfried
Ebers George
spellingShingle Heinz Moritz
Ickstadt Katja
Held Ulrike
Daumer Martin
Schach Siegfried
Ebers George
Reducing the probability of false positive research findings by pre-publication validation – Experience with a large multiple sclerosis database
BMC Medical Research Methodology
author_facet Heinz Moritz
Ickstadt Katja
Held Ulrike
Daumer Martin
Schach Siegfried
Ebers George
author_sort Heinz Moritz
title Reducing the probability of false positive research findings by pre-publication validation – Experience with a large multiple sclerosis database
title_short Reducing the probability of false positive research findings by pre-publication validation – Experience with a large multiple sclerosis database
title_full Reducing the probability of false positive research findings by pre-publication validation – Experience with a large multiple sclerosis database
title_fullStr Reducing the probability of false positive research findings by pre-publication validation – Experience with a large multiple sclerosis database
title_full_unstemmed Reducing the probability of false positive research findings by pre-publication validation – Experience with a large multiple sclerosis database
title_sort reducing the probability of false positive research findings by pre-publication validation – experience with a large multiple sclerosis database
publisher BMC
series BMC Medical Research Methodology
issn 1471-2288
publishDate 2008-04-01
description <p>Abstract</p> <p>Background</p> <p>Published false positive research findings are a major problem in the process of scientific discovery. There is a high rate of lack of replication of results in clinical research in general, multiple sclerosis research being no exception. Our aim was to develop and implement a policy that reduces the probability of publishing false positive research findings.</p> <p>We have assessed the utility to work with a pre-publication validation policy after several years of research in the context of a large multiple sclerosis database.</p> <p>Methods</p> <p>The large database of the Sylvia Lawry Centre for Multiple Sclerosis Research was split in two parts: one for hypothesis generation and a validation part for confirmation of selected results. We present case studies from 5 finalized projects that have used the validation policy and results from a simulation study.</p> <p>Results</p> <p>In one project, the "relapse and disability" project as described in section II (example 3), findings could not be confirmed in the validation part of the database. The simulation study showed that the percentage of false positive findings can exceed 20% depending on variable selection.</p> <p>Conclusion</p> <p>We conclude that the validation policy has prevented the publication of at least one research finding that could not be validated in an independent data set (and probably would have been a "true" false-positive finding) over the past three years, and has led to improved data analysis, statistical programming, and selection of hypotheses. The advantages outweigh the lost statistical power inherent in the process.</p>
url http://www.biomedcentral.com/1471-2288/8/18
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