Inference about magnitudes of effects.
Int J Sports Physiol Perform
; 3(4): 547-57, 2008 Dec.
Article
em En
| MEDLINE
| ID: mdl-19223677
ABSTRACT
In a recent commentary on statistical inference, Batterham and Hopkins advocated an approach to statistical inference centered on expressions of uncertainty in parameters. After criticizing an approach to statistical inference driven by null hypothesis testing, they proposed a method of "magnitude-based" inference and then claimed that this approach is essentially Bayesian but with no prior assumption about the true value of the parameter. In this commentary, after we address the issues raised by Batterham and Hopkins, we show that their method is "approximately" Bayesian and rather than assuming no prior information their approach has a very specific, but hidden, joint prior on parameters. To correctly adopt the type of inference advocated by Batterham and Hopkins, sport scientists need to use fully Bayesian methods of analysis.
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Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Projetos de Pesquisa
/
Teorema de Bayes
Tipo de estudo:
Prognostic_studies
Limite:
Humans
Idioma:
En
Revista:
Int J Sports Physiol Perform
Assunto da revista:
FISIOLOGIA
/
MEDICINA ESPORTIVA
Ano de publicação:
2008
Tipo de documento:
Article
País de afiliação:
Nova Zelândia