Adaptive bootstrap tests for composite null hypotheses in the mediation pathway analysis.
J R Stat Soc Series B Stat Methodol
; 86(2): 411-434, 2024 Apr.
Article
em En
| MEDLINE
| ID: mdl-38746015
ABSTRACT
Mediation analysis aims to assess if, and how, a certain exposure influences an outcome of interest through intermediate variables. This problem has recently gained a surge of attention due to the tremendous need for such analyses in scientific fields. Testing for the mediation effect (ME) is greatly challenged by the fact that the underlying null hypothesis (i.e. the absence of MEs) is composite. Most existing mediation tests are overly conservative and thus underpowered. To overcome this significant methodological hurdle, we develop an adaptive bootstrap testing framework that can accommodate different types of composite null hypotheses in the mediation pathway analysis. Applied to the product of coefficients test and the joint significance test, our adaptive testing procedures provide type I error control under the composite null, resulting in much improved statistical power compared to existing tests. Both theoretical properties and numerical examples of the proposed methodology are discussed.
Texto completo:
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Bases de dados:
MEDLINE
Idioma:
En
Revista:
J R Stat Soc Series B Stat Methodol
Ano de publicação:
2024
Tipo de documento:
Article
País de afiliação:
Estados Unidos