Some Corrections of the Significance Level in Meta - Analysis

dc.contributor.author	Böckenhoff, Annette	de
dc.contributor.author	Hartung, Joachim	de
dc.date.accessioned	2004-12-06T18:38:20Z
dc.date.available	2004-12-06T18:38:20Z
dc.date.issued	1998	de
dc.description.abstract	In many applications we obtain test statistics by combining estimates from different experiments or studies. The usual combined estimator of the overall effect in independent studies leads to systematic overestimates of the significance level, see Li et al. (1994). This results in a great number of unjustified significant evidences. By examination of the convexity of composed functions involved and application of higher and inverse moments of the chi-square distribution we propose corrections for the estimated standard deviation of the overall effect estimator. Analytical results and simulations show that we improve the estimated significance level in such models.	en
dc.format.extent	194592 bytes
dc.format.extent	221546 bytes
dc.format.mimetype	application/pdf
dc.format.mimetype	application/postscript
dc.identifier.uri	http://hdl.handle.net/2003/4839
dc.identifier.uri	http://dx.doi.org/10.17877/DE290R-5415
dc.language.iso	en	de
dc.publisher	Universitätsbibliothek Dortmund	de
dc.subject	combined estimator	en
dc.subject	meta-analysis	en
dc.subject	significance level	en
dc.subject.ddc	310	de
dc.title	Some Corrections of the Significance Level in Meta - Analysis	en
dc.type	Text	de
dc.type.publicationtype	report	en
dcterms.accessRights	open access

Files

Now showing 1 - 2 of 2