Power and sample size for ordered categorical data.
Stat Methods Med Res
; 12(1): 73-84, 2003 Jan.
Article
en En
| MEDLINE
| ID: mdl-12617509
ABSTRACT
We propose a new method for computing power and sample size for linear rank tests of differences between two ordered multinomial populations. The method is flexible in that it is applicable to any general alternative hypothesis and for any choice of rank scores. We show that the method, though asymptotic, closely approximates existing exact methods. At the same time it overcomes the computational limitations of the exact methods. This advantage makes our asymptotic approach more practical for sample size computations at the planning stages of a large study. We illustrate the method with data arising from both proportional and non-proportional odds models in the two ordered multinomial setting.
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Colección:
01-internacional
Base de datos:
MEDLINE
Asunto principal:
Biometría
/
Tamaño de la Muestra
Tipo de estudio:
Prognostic_studies
/
Risk_factors_studies
País/Región como asunto:
America do norte
Idioma:
En
Revista:
Stat Methods Med Res
Año:
2003
Tipo del documento:
Article
País de afiliación:
Estados Unidos