Sufficient Cause Interaction for Time-to-event Outcomes.
Epidemiology
; 30(2): 189-196, 2019 03.
Article
em En
| MEDLINE
| ID: mdl-30608244
ABSTRACT
Methods to assess sufficient cause interactions are well developed for binary outcomes. We extend these methods to handle time-to-event outcomes, which occur frequently in medicine and epidemiology. Based on theory for marginal structural models in continuous time, we show how to assess sufficient cause interaction nonparametrically, allowing for censoring and competing risks. We apply the method to study interaction between intensive blood pressure therapy and statin treatment on all-cause mortality.
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Inibidores de Hidroximetilglutaril-CoA Redutases
/
Hipertensão
Tipo de estudo:
Prognostic_studies
/
Risk_factors_studies
Limite:
Humans
/
Middle aged
Idioma:
En
Ano de publicação:
2019
Tipo de documento:
Article