Filtern
Erscheinungsjahr
- 2020 (1)
Institut
- Fachbereich Medizintechnik und Technomathematik (1) (entfernen)
Volltext vorhanden
- nein (1)
Sprache
- Englisch (1) (entfernen)
Dokumenttyp
Schlagworte
- random effects meta-regression model (1) (entfernen)
Zugriffsart
- bezahl (1)
Gehört zur Bibliographie
- nein (1)
The established Hoeffding-Blum-Kiefer-Rosenblatt independence test statistic is investigated for partly not identically distributed data. Surprisingly, it turns out that the statistic has the well-known distribution-free limiting null distribution of the classical criterion under standard regularity conditions. An application is testing goodness-of-fit for the regression function in a non parametric random effects meta-regression model, where the consistency is obtained as well. Simulations investigate size and power of the approach for small and moderate sample sizes. A real data example based on clinical trials illustrates how the test can be used in applications.