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Journal article

Use of causal diagrams to inform the analysis and interpretation of observational studies: An example from the Study of Heart and Renal Protection (SHARP)

Abstract:

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 due to confounding. To control for confounding properly, careful consideration of the nature of the assumed relationships between the exposure, the outcome and other characteristics is required. Causal diagrams provide a simple graphical means of displaying such relationships, describing t...

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Publication status:
Published
Peer review status:
Peer reviewed
Version:
Accepted manuscript

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Publisher copy:
10.2215/CJN.02430316

Authors


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Department:
Oxford, MSD, Nuffield Department of Population Health, Clinical Trial Service Unit
More by this author
Department:
Oxford, MSD, Nuffield Department of Population Health, Clinical Trial Service Unit
More by this author
Department:
Oxford, MSD, Nuffield Department of Population Health, Clinical Trial Service Unit
More by this author
Department:
Oxford, MSD, Nuffield Department of Population Health, Clinical Trial Service Unit
More by this author
Department:
Oxford, MSD, Nuffield Department of Population Health, Clinical Trial Service Unit
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Merck/Schering-Plough Pharmaceuticals More from this funder
Australian National Health Medical Research Council More from this funder
British Heart Foundation More from this funder
Medical Research Council More from this funder
Publisher:
American Society of Nephrology Publisher's website
Journal:
Clinical Journal of the American Society of Nephrology Journal website
Publication date:
2016-08-05
Acceptance date:
2016-07-13
DOI:
EISSN:
1555-905X
ISSN:
1555-9041
Pubs id:
pubs:640261
URN:
uri:a16c3c11-ff02-4c94-b027-01675c955766
UUID:
a16c3c11-ff02-4c94-b027-01675c955766
Local pid:
pubs:640261

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