W-test (original) (raw)
In statistics, the W-test is designed to test the distributional differences between cases and controls for categorical variable set, which can be a single SNP, SNP-SNP, or SNP-environment pairs. It takes a combined log of odds ratio form, calculated from the contingency table of the variable set. The test inherits a chi-squared distribution with data-set adaptive degrees of freedom f, estimated from smaller bootstrapped samples of the data. The flexible and data-corrected probability distribution allows W-test to give relatively accurate p-values under complex genetic architectures.
| Property | Value |
|---|---|
| dbo:abstract | In statistics, the W-test is designed to test the distributional differences between cases and controls for categorical variable set, which can be a single SNP, SNP-SNP, or SNP-environment pairs. It takes a combined log of odds ratio form, calculated from the contingency table of the variable set. The test inherits a chi-squared distribution with data-set adaptive degrees of freedom f, estimated from smaller bootstrapped samples of the data. The flexible and data-corrected probability distribution allows W-test to give relatively accurate p-values under complex genetic architectures. (en) |
| dbo:wikiPageExternalLink | http://www2.ccrb.cuhk.edu.hk/statgene/ https://www2.ccrb.cuhk.edu.hk/wtest/index.html http://nar.oxfordjournals.org/content/early/2016/04/25/nar.gkw347.long |
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| dbo:wikiPageWikiLink | dbc:Statistical_hypothesis_testing dbr:Chi-squared_distribution dbr:Contingency_table dbr:Statistics dbc:Statistical_genetics dbr:Odds_ratio dbr:Minor_allele_frequency dbr:Single-nucleotide_polymorphism dbr:Bootstrap_(statistics) |
| dbp:wikiPageUsesTemplate | dbt:Statistics-stub dbt:Genetics-stub |
| dct:subject | dbc:Statistical_hypothesis_testing dbc:Statistical_genetics |
| rdfs:comment | In statistics, the W-test is designed to test the distributional differences between cases and controls for categorical variable set, which can be a single SNP, SNP-SNP, or SNP-environment pairs. It takes a combined log of odds ratio form, calculated from the contingency table of the variable set. The test inherits a chi-squared distribution with data-set adaptive degrees of freedom f, estimated from smaller bootstrapped samples of the data. The flexible and data-corrected probability distribution allows W-test to give relatively accurate p-values under complex genetic architectures. (en) |
| rdfs:label | W-test (en) |
| owl:sameAs | wikidata:W-test https://global.dbpedia.org/id/2Mm9U |
| prov:wasDerivedFrom | wikipedia-en:W-test?oldid=886419197&ns=0 |
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