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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Detaylı Bibliyografya
Yayımlandı:Clin J Am Soc Nephrol
Asıl Yazarlar: Staplin, Natalie, Herrington, William G., Judge, Parminder K., Reith, Christina A., Haynes, Richard, Landray, Martin J., Baigent, Colin, Emberson, Jonathan
Materyal Türü: Artigo
Dil:Inglês
Baskı/Yayın Bilgisi: American Society of Nephrology 2017
Konular:
Special Feature
Online Erişim: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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