Use of causal diagrams to inform the analysis 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 due to confounding. To control for confounding properly, careful consideration of the nature...
| Váldodahkkit: | , , , , , , , |
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| Materiálatiipa: | Journal article |
| Almmustuhtton: |
American Society of Nephrology
2016
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