Nonparametric Two-Sample Tests for General Clinical Data
โ Scribed by Priv. Doz. Dr. Dr. R. A. Hilgers
- Publisher
- John Wiley and Sons
- Year
- 1989
- Tongue
- English
- Weight
- 807 KB
- Volume
- 31
- Category
- Article
- ISSN
- 0323-3847
No coin nor oath required. For personal study only.
โฆ Synopsis
Starting from the discussion of a practical example a unifying concept for thederivation of meaningfully interpretable nonparametric tests for the two-sample cam is developed which may well be adapted for other designs, too.
This methodology covere other well-known procedures, e.g. Fisher's exact test, the Wilcoxon-Mann-Whitney and Gehan's tests, and may furthermore be extended to all situations sharing the same fundamental structural property of the sample space, namely its strict order induced by the substantial problem under study.
The resulting test procedure is discussed for a randomization argument, exact and approximate, as well as for the general specific test problem. A numerical example is provided.
๐ SIMILAR VOLUMES
In the several sample case for independent observations suitable rank testa can be derived, if a location model ia aeeumed. Inmore general models it is difficult to deduce such statistics. If only two samples are considered, rank tests can be developed without probleme. For general two-sample design
A nonparametric test is presented to test for ordered alternatives of the treatment effecta when the data follow a two-way layout. The observations are subject to arbitrary right censorehip. The test is similar to the one developed by H s r r a r a ~s ~m a m and NORTON (1987) for uncensored observat