Use of Causal Diagrams to Inform the Design and Interpretation of Observational Studies: An Example from the Study of Heart and Renal Protection (SHARP)

Observational studies often seek to estimate the causal relevance of an exposure to an outcome of interest. However, many possible biases can arise when estimating such relationships, in particular bias because of confounding. To control for confounding properly, careful consideration of the nature...

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Detalhes bibliográficos
Publicado no:Clin J Am Soc Nephrol
Main Authors: Staplin, Natalie, Herrington, William G., Judge, Parminder K., Reith, Christina A., Haynes, Richard, Landray, Martin J., Baigent, Colin, Emberson, Jonathan
Formato: Artigo
Idioma:Inglês
Publicado em: American Society of Nephrology 2017
Assuntos:
Special Feature
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC5338700/
https://ncbi.nlm.nih.gov/pubmed/27553952
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.2215/CJN.02430316
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