An Alternative Method for Meta-Analysis
| dc.contributor.author | Hartung, Joachim | de |
| dc.date.accessioned | 2004-12-06T18:39:02Z | |
| dc.date.available | 2004-12-06T18:39:02Z | |
| dc.date.issued | 1998 | de |
| dc.description.abstract | In many fields of applications, test statistics are obtained by combining estimates from several experiments, studies or centres of a multi-centre trial. The commonly used test procedure to judge the evidence of a common overall effect can result in a considerable overestimation of the significance level, leading to a high rate of too liberal decisions. An alternative test statistic is presented and a better approximating test distribution is derived. Explicitely discussed are the methods in the unbalanced heteroscedastic 1-way random ANOVA model and for the probability difference method, including interaction treatment by centres. Numerical results are presented by simulation studies. | en |
| dc.format.extent | 235719 bytes | |
| dc.format.extent | 500995 bytes | |
| dc.format.mimetype | application/pdf | |
| dc.format.mimetype | application/postscript | |
| dc.identifier.uri | http://hdl.handle.net/2003/4885 | |
| dc.identifier.uri | http://dx.doi.org/10.17877/DE290R-6916 | |
| dc.language.iso | en | de |
| dc.publisher | Universitätsbibliothek Dortmund | de |
| dc.subject | combining experiments | en |
| dc.subject | heteroscedastic ANOVA model | en |
| dc.subject | interaction treatment by centres | en |
| dc.subject | meta-analysis | en |
| dc.subject | multi-centre study | en |
| dc.subject | probability difference method | en |
| dc.subject | random effects | en |
| dc.subject.ddc | 310 | de |
| dc.title | An Alternative Method for Meta-Analysis | en |
| dc.type | Text | de |
| dc.type.publicationtype | report | en |
| dcterms.accessRights | open access |