Sensitivity analysis for unmeasured confounding in principal stratification settings with binary variables
نویسندگان
چکیده
منابع مشابه
Sensitivity analysis for unmeasured confounding in principal stratification settings with binary variables.
Within causal inference, principal stratification (PS) is a popular approach for dealing with intermediate variables, that is, variables affected by treatment that also potentially affect the response. However, when there exists unmeasured confounding in the treatment arms--as can happen in observational studies--causal estimands resulting from PS analyses can be biased. We identify the various...
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ژورنال
عنوان ژورنال: Statistics in Medicine
سال: 2012
ISSN: 0277-6715
DOI: 10.1002/sim.4472