Bootstrap and permutation rank tests for proportional hazards under right censoring.
Lifetime Data Anal
; 26(3): 493-517, 2020 07.
Article
em En
| MEDLINE
| ID: mdl-31555996
ABSTRACT
We address the testing problem of proportional hazards in the two-sample survival setting allowing right censoring, i.e., we check whether the famous Cox model is underlying. Although there are many test proposals for this problem, only a few papers suggest how to improve the performance for small sample sizes. In this paper, we do exactly this by carrying out our test as a permutation as well as a wild bootstrap test. The asymptotic properties of our test, namely asymptotic exactness under the null and consistency, can be transferred to both resampling versions. Various simulations for small sample sizes reveal an actual improvement of the empirical size and a reasonable power performance when using the resampling versions. Moreover, the resampling tests perform better than the existing tests of Gill and Schumacher and Grambsch and Therneau . The tests' practical applicability is illustrated by discussing real data examples.
Palavras-chave
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Viés
/
Modelos de Riscos Proporcionais
Limite:
Humans
Idioma:
En
Revista:
Lifetime Data Anal
Ano de publicação:
2020
Tipo de documento:
Article
País de afiliação:
Alemanha