Assessing causal treatment effect estimation when using large observational datasets

BACKGROUND: Recently, there has been a heightened interest in developing and evaluating different methods for analysing observational data. This has been driven by the increased availability of large data resources such as Electronic Health Record (EHR) data alongside known limitations and changing...

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Detalles Bibliográficos
Autores principales: John, E. R., Abrams, K. R., Brightling, C. E., Sheehan, N. A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6854791/
https://www.ncbi.nlm.nih.gov/pubmed/31726969
http://dx.doi.org/10.1186/s12874-019-0858-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6854791/
https://www.ncbi.nlm.nih.gov/pubmed/31726969
http://dx.doi.org/10.1186/s12874-019-0858-x

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