Simple t-distribution Based Tests for Meta-Analysis

dc.contributor.author	Hartung, Joachim	de
dc.contributor.author	Makambi, K. H.	de
dc.date.accessioned	2004-12-06T18:39:47Z
dc.date.available	2004-12-06T18:39:47Z
dc.date.issued	1999	de
dc.description.abstract	The variance function of the optimal estimator of the overall mean in a heteroscedastic one-way ANOVA model is dominated by positive semi-definite quadratic functions. This makes it possible to develop closely related tests on the nullity of the overall mean parameter, in one-way fifixed and random effects ANOVA models, which make use of the quantiles of the t-distribution. These tests are founded on the convexity arguments similar to Hartung (1976). Simulation results indicate that the proposed tests attain type I error rates which are far more acceptable than those of the commonly used tests.	en
dc.format.extent	126030 bytes
dc.format.extent	166238 bytes
dc.format.mimetype	application/pdf
dc.format.mimetype	application/postscript
dc.identifier.uri	http://hdl.handle.net/2003/4925
dc.identifier.uri	http://dx.doi.org/10.17877/DE290R-5425
dc.language.iso	en	de
dc.publisher	Universitätsbibliothek Dortmund	de
dc.subject	balanced and unbalanced samples	en
dc.subject	estimated degrees of freedom	en
dc.subject	fixed and random effects models	en
dc.subject	homoscedastic and heteroscedastic error variances	en
dc.subject	replication	en
dc.subject	type I error rate	en
dc.subject.ddc	310	de
dc.title	Simple t-distribution Based Tests for Meta-Analysis	en
dc.type	Text	de
dc.type.publicationtype	report	en
dcterms.accessRights	open access

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