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- Circular_analysis abstract "In statistics, circular analysis is the selection of the details of a data analysis using the data that is being analysed. It is often referred to as double dipping, as one uses the same data twice. Circular analysis unjustifiably inflates the apparent statistical strength of any results reported and, at the most extreme, can lead to the apparently significant result being found in data that consists only of noise. In particular, where an experiment is implemented to study a postulated effect, it is a misuse of statistics to initially reduce the complete dataset by selecting a subset of data in ways that are aligned to the effects being studied. A second misuse occurs where the performance of a fitted model or classification rule is reported as a raw result, without allowing for the effects of model-selection and the tuning of parameters based on the data being analyzed.".
- Circular_analysis wikiPageID "38811093".
- Circular_analysis wikiPageRevisionID "597599123".
- Circular_analysis hasPhotoCollection Circular_analysis.
- Circular_analysis subject Category:Misuse_of_statistics.
- Circular_analysis subject Category:Model_selection.
- Circular_analysis comment "In statistics, circular analysis is the selection of the details of a data analysis using the data that is being analysed. It is often referred to as double dipping, as one uses the same data twice. Circular analysis unjustifiably inflates the apparent statistical strength of any results reported and, at the most extreme, can lead to the apparently significant result being found in data that consists only of noise.".
- Circular_analysis label "Circular analysis".
- Circular_analysis sameAs m.0rph6yw.
- Circular_analysis sameAs Q16958490.
- Circular_analysis sameAs Q16958490.
- Circular_analysis wasDerivedFrom Circular_analysis?oldid=597599123.
- Circular_analysis isPrimaryTopicOf Circular_analysis.