Multivariate Inference in clinical trials - tests with model choice, confidence regions

• Autorzy: Läuter, J. , Kropf, S.
• Języki publikacji: EN

Abstrakty

EN

In the paper, the formerly introduced spherical multivariate tests are coupled with procedures for selecting the relevant variables. These procedures work in such a way that a non-relevant set of variables is chosen with the probability of significance \alfa, at most. Furthermore, a new method of the calculation of linear principal-component scores is presented, which is based only on the within-sample covariances and yields, nevertheless, a level-\alfa test in each case. This method enables us to determine novel multivariate confidence regions of the unknown mean vector. The statistical procedures are demonstrated by a neurological example.

Słowa kluczowe

PL

inżynieria biomedyczna; biocybernetyka

EN

multivariate test; multiple endpoints; model choice; selection of variables; confidence region

• Czasopismo: Biocybernetics and Biomedical Engineering
• Rocznik: 2002
• Tom: Vol. 22, no. 1
• Strony: 5-16
• Opis fizyczny: Bibliogr., rys., tab., wykr.

Twórcy

autor

Läuter, J.

autor

Kropf, S.

• Otto v. Guericke University Magdeburg, Institute of Biometrics and Medical Informatics, Leipziger Str. 44, 39120 Magdeburg, Germany,