Using causal diagrams to guide analysis
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Daniel, R. M.; Kenward, M. G.; Cousens, S. N.; De Stavola, B. L.
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Article
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2011
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SAGE Publications
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English
β 351 KB
Estimating causal effects from incomplete data requires additional and inherently untestable assumptions regarding the mechanism giving rise to the missing data. We show that using causal diagrams to represent these additional assumptions both complements and clarifies some of the central issues in