Comments on: Validating patterns found by Data Mining techniques http://blog.markus-breitenbach.com/2007/02/22/validating-patterns-found-by-data-mining-techniques/ AI, Data Mining, Machine Learning and other things Wed, 23 Jul 2008 23:37:09 +0000 http://wordpress.org/?v=2.2.1 By: Dan http://blog.markus-breitenbach.com/2007/02/22/validating-patterns-found-by-data-mining-techniques/#comment-146 Dan Tue, 27 Feb 2007 18:19:27 +0000 http://blog.markus-breitenbach.com/2007/02/22/validating-patterns-found-by-data-mining-techniques/#comment-146 Check out this paper: Ioannidis JPA (2005) Why Most Published Research Findings Are False. PLoS Med 2(8): e124 http://dx.doi.org/10.1371/journal.pmed.0020124 To quote from the Abstract: "There is increasing concern that most current published research findings are false. The probability that a research claim is true may depend on study power and bias, the number of other studies on the same question, and, importantly, the ratio of true to no relationships among the relationships probed in each scientific field. [...] Simulations show that for most study designs and settings, it is more likely for a research claim to be false than true. [...]" Also interesting: Djulbegovic B, Hozo I (2007) When Should Potentially False Research Findings Be Considered Acceptable? PLoS Med 4(2): e26 doi:10.1371/journal.pmed.0040026 Also: Moonesinghe R, Khoury MJ, Janssens ACJW (2007) Most Published Research Findings Are False-But a Little Replication Goes a Long Way. PLoS Med 4(2): e28 doi:10.1371/journal.pmed.0040028 Check out this paper: Ioannidis JPA (2005) Why Most Published Research Findings Are False. PLoS Med 2(8): e124

http://dx.doi.org/10.1371/journal.pmed.0020124

To quote from the Abstract: “There is increasing concern that most current published research findings are false. The probability that a research claim is true may depend on study power and bias, the number of other studies on the same question, and, importantly, the ratio of true to no relationships among the relationships probed in each scientific field. […] Simulations show that for most study designs and settings, it is more likely for a research claim to be false than true. […]”

Also interesting: Djulbegovic B, Hozo I (2007) When Should Potentially False Research Findings Be Considered Acceptable? PLoS Med 4(2): e26 doi:10.1371/journal.pmed.0040026

Also: Moonesinghe R, Khoury MJ, Janssens ACJW (2007) Most Published Research Findings Are False-But a Little Replication Goes a Long Way. PLoS Med 4(2): e28 doi:10.1371/journal.pmed.0040028

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