G-computation and machine learning for estimating the causal effects of binary exposure statuses on binary outcomes

Abstract In clinical research, there is a growing interest in the use of propensity score-based methods to estimate causal effects. G-computation is an alternative because of its high statistical power. Machine learning is also increasingly used because of its possible robustness to model misspecifi...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autores principales: Florent Le Borgne, Arthur Chatton, Maxime Léger, Rémi Lenain, Yohann Foucher
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2021
Materias:
R
Q
Acceso en línea:https://doaj.org/article/9a15763593834528a4a5936250ed81c7
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!