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- Data_dredging abstract "Data dredging (also data fishing, data snooping, equation fitting and p-hacking) is the use of data mining to uncover patterns in data that can be presented as statistically significant, without first devising a specific hypothesis as to the underlying causality.The process of data mining involves automatically testing huge numbers of hypotheses about a single data set by exhaustively searching for combinations of variables that might show a correlation. Conventional tests of statistical significance are based on the probability that an observation arose by chance, and necessarily accept some risk of mistaken test results, called the significance. When large numbers of tests are performed, some produce false results, hence 5% of randomly chosen hypotheses turn out to be significant at the 5% level, 1% turn out to be significant at the 1% significance level, and so on, by chance alone. When enough hypotheses are tested, it is virtually certain that some falsely appear statistically significant, since almost every data set with any degree of randomness is likely to contain some spurious correlations. If they are not cautious, researchers using data mining techniques can be easily misled by these apparently significant results.The multiple comparisons hazard is common in data dredging. Moreover, subgroups are sometimes explored without alerting the reader to the number of questions at issue, which can lead to misinformed conclusions.".
- Data_dredging wikiPageExternalLink data-snooping.martinsewell.com.
- Data_dredging wikiPageExternalLink info%3Adoi%2F10.1371%2Fjournal.pmed.0020124.
- Data_dredging wikiPageExternalLink spurious-correlations.
- Data_dredging wikiPageID "1311951".
- Data_dredging wikiPageLength "13320".
- Data_dredging wikiPageOutDegree "47".
- Data_dredging wikiPageRevisionID "706804645".
- Data_dredging wikiPageWikiLink Base_rate_fallacy.
- Data_dredging wikiPageWikiLink Bonferroni_correction.
- Data_dredging wikiPageWikiLink Booles_inequality.
- Data_dredging wikiPageWikiLink Cancer_cluster.
- Data_dredging wikiPageWikiLink Category:Bias.
- Data_dredging wikiPageWikiLink Category:Cognitive_biases.
- Data_dredging wikiPageWikiLink Category:Data_mining.
- Data_dredging wikiPageWikiLink Category:Design_of_experiments.
- Data_dredging wikiPageWikiLink Category:Hypothesis_testing.
- Data_dredging wikiPageWikiLink Category:Misuse_of_statistics.
- Data_dredging wikiPageWikiLink Covariate.
- Data_dredging wikiPageWikiLink Data_mining.
- Data_dredging wikiPageWikiLink Data_set.
- Data_dredging wikiPageWikiLink Demography.
- Data_dredging wikiPageWikiLink Exploratory_data_analysis.
- Data_dredging wikiPageWikiLink False_discovery_rate.
- Data_dredging wikiPageWikiLink Frequentist_probability.
- Data_dredging wikiPageWikiLink Lincoln–Kennedy_coincidences_urban_legend.
- Data_dredging wikiPageWikiLink Linear_regression.
- Data_dredging wikiPageWikiLink Meteorology.
- Data_dredging wikiPageWikiLink Misuse_of_statistics.
- Data_dredging wikiPageWikiLink Multiple_comparisons_problem.
- Data_dredging wikiPageWikiLink Null_hypothesis.
- Data_dredging wikiPageWikiLink Observational_study.
- Data_dredging wikiPageWikiLink Overfitting.
- Data_dredging wikiPageWikiLink P-value.
- Data_dredging wikiPageWikiLink PLOS_Medicine.
- Data_dredging wikiPageWikiLink Pareidolia.
- Data_dredging wikiPageWikiLink Predictive_analytics.
- Data_dredging wikiPageWikiLink Predictive_power.
- Data_dredging wikiPageWikiLink Publication_bias.
- Data_dredging wikiPageWikiLink Reproducibility.
- Data_dredging wikiPageWikiLink Scheffxc3xa9s_method.
- Data_dredging wikiPageWikiLink Statistical_hypothesis_testing.
- Data_dredging wikiPageWikiLink Statistical_significance.
- Data_dredging wikiPageWikiLink Statistical_test_of_significance.
- Data_dredging wikiPageWikiLink Stepwise_regression.
- Data_dredging wikiPageWikiLink Testing_hypotheses_suggested_by_the_data.
- Data_dredging wikiPageWikiLink Tukey_method.
- Data_dredging wikiPageWikiLinkText "Data dredging".
- Data_dredging wikiPageWikiLinkText "data dredge".
- Data_dredging wikiPageWikiLinkText "data dredging".
- Data_dredging wikiPageWikiLinkText "p-hacking".
- Data_dredging wikiPageWikiLinkText "results were dredged".
- Data_dredging wikiPageUsesTemplate Template:Cite_journal.
- Data_dredging wikiPageUsesTemplate Template:Main.
- Data_dredging wikiPageUsesTemplate Template:Reflist.
- Data_dredging subject Category:Bias.
- Data_dredging subject Category:Cognitive_biases.
- Data_dredging subject Category:Data_mining.
- Data_dredging subject Category:Design_of_experiments.
- Data_dredging subject Category:Hypothesis_testing.
- Data_dredging subject Category:Misuse_of_statistics.
- Data_dredging hypernym Use.
- Data_dredging type Type.
- Data_dredging type Algorithm.
- Data_dredging type Concept.
- Data_dredging type Econometric.
- Data_dredging type Prejudice.
- Data_dredging type Type.
- Data_dredging comment "Data dredging (also data fishing, data snooping, equation fitting and p-hacking) is the use of data mining to uncover patterns in data that can be presented as statistically significant, without first devising a specific hypothesis as to the underlying causality.The process of data mining involves automatically testing huge numbers of hypotheses about a single data set by exhaustively searching for combinations of variables that might show a correlation.".
- Data_dredging label "Data dredging".
- Data_dredging sameAs Q5227277.
- Data_dredging sameAs Data_dredging.
- Data_dredging sameAs m.04r_99.
- Data_dredging sameAs Q5227277.
- Data_dredging wasDerivedFrom Data_dredging?oldid=706804645.
- Data_dredging isPrimaryTopicOf Data_dredging.