Confounding adjustment methods in longitudinal observational data with a time-varying treatment: a mapping review

OBJECTIVES: To adjust for confounding in observational data, researchers use propensity score matching (PSM), but more advanced methods might be required when dealing with longitudinal data and time-varying treatments as PSM might not include possible changes that occurred over time. This study aims...

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Detalles Bibliográficos
Autores principales: Wijn, Stan R W, Rovers, Maroeska M, Hannink, Gerjon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2022
Materias:
Research Methods
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8935170/
https://www.ncbi.nlm.nih.gov/pubmed/35304403
http://dx.doi.org/10.1136/bmjopen-2021-058977

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8935170/
https://www.ncbi.nlm.nih.gov/pubmed/35304403
http://dx.doi.org/10.1136/bmjopen-2021-058977

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