Can statistical adjustment guided by causal inference improve the accuracy of effect estimation? A simulation and empirical research based on meta-analyses of case–control studies

BACKGROUND: Statistical adjustment is often considered to control confounding bias in observational studies, especially case–control studies. However, different adjustment strategies may affect the estimation of odds ratios (ORs), and in turn affect the results of their pooled analyses. Our study is...

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Detalles Bibliográficos
Autores principales: Yan, Ruohua, Liu, Tianyi, Peng, Yaguang, Peng, Xiaoxia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7731571/
https://www.ncbi.nlm.nih.gov/pubmed/33308213
http://dx.doi.org/10.1186/s12911-020-01343-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7731571/
https://www.ncbi.nlm.nih.gov/pubmed/33308213
http://dx.doi.org/10.1186/s12911-020-01343-3

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