A Note on Combining Dependent Tests of Significance

dc.contributor.author	Hartung, Joachim	de
dc.date.accessioned	2004-12-06T18:39:03Z
dc.date.available	2004-12-06T18:39:03Z
dc.date.issued	1998	de
dc.description.abstract	In combining several tests of significance the individual test statistics are allowed to be dependent. By choosing the weighted inverse normal method for the combination, the dependency of the original test statistics is then characterized by a correlation of the transformed statistics. For this correlation a confidence region, an unbiased estimator and an unbiased estimate of its variance are derived. The combined test statistic is extended to include the case of possibly dependent original test statistics. A simulation study shows the performance of the actual significance level.	en
dc.format.extent	126125 bytes
dc.format.extent	138946 bytes
dc.format.mimetype	application/pdf
dc.format.mimetype	application/postscript
dc.identifier.uri	http://hdl.handle.net/2003/4886
dc.identifier.uri	http://dx.doi.org/10.17877/DE290R-15073
dc.language.iso	en	de
dc.publisher	Universitätsbibliothek Dortmund	de
dc.subject	combining dependent test statistics	en
dc.subject	combining p-values	en
dc.subject	inverse normal method	en
dc.subject	multiple endpoints	en
dc.subject	non-parametric meta-analysis	en
dc.subject.ddc	310	de
dc.title	A Note on Combining Dependent Tests of Significance	en
dc.type	Text	de
dc.type.publicationtype	report	en
dcterms.accessRights	open access

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