Inference on tree-structured subgroups with subgroup size and subgroup effect relationship in clinical trials.
Stat Med
; 42(27): 5039-5053, 2023 11 30.
Article
en En
| MEDLINE
| ID: mdl-37732390
ABSTRACT
When multiple candidate subgroups are considered in clinical trials, we often need to make statistical inference on the subgroups simultaneously. Classical multiple testing procedures might not lead to an interpretable and efficient inference on the subgroups as they often fail to take subgroup size and subgroup effect relationship into account. In this paper, built on the selective traversed accumulation rules (STAR), we propose a data-adaptive and interactive multiple testing procedure for subgroups which can take subgroup size and subgroup effect relationship into account under prespecified tree structure. The proposed method is easy-to-implement and can lead to a more interpretable and efficient inference on prespecified tree-structured subgroups. Possible accommodations to post hoc identified tree-structure subgroups are also discussed in the paper. We demonstrate the merit of our proposed method by re-analyzing the panitumumab trial with the proposed method.
Palabras clave
Texto completo:
1
Colección:
01-internacional
Banco de datos:
MEDLINE
Asunto principal:
Proyectos de Investigación
/
Ensayos Clínicos como Asunto
Límite:
Humans
Idioma:
En
Revista:
Stat Med
Año:
2023
Tipo del documento:
Article