A carregar...
Estimation of causal effects of multiple treatments in observational studies with a binary outcome
There is a dearth of robust methods to estimate the causal effects of multiple treatments when the outcome is binary. This paper uses two unique sets of simulations to propose and evaluate the use of Bayesian additive regression trees in such settings. First, we compare Bayesian additive regression...
Na minha lista:
| Publicado no: | Stat Methods Med Res |
|---|---|
| Main Authors: | , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
SAGE Publications
2020
|
| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7534201/ https://ncbi.nlm.nih.gov/pubmed/32450775 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1177/0962280220921909 |
| Tags: |
Adicionar Tag
Sem tags, seja o primeiro a adicionar uma tag!
|