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confounding are weaker than requiring benchmark assumptions, such as exogeneity or a perfect proxy, and enable a sensitivity …
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Covariate benchmarking is an important part of sensitivity analysis about omitted variable bias and can be used to bound the strength of the unobserved confounder using information and judgments about observed covariates. It is common to carry out formal covariate benchmarking after...
Persistent link: https://www.econbiz.de/10014430784
Covariate benchmarking is an important part of sensitivity analysis about omitted variable bias and can be used to bound the strength of the unobserved confounder using information and judgments about observed covariates. It is common to carry out formal covariate benchmarking under the...
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Abstract The paper considers the properties of and relations between confounding and effect modification from the … of confounding depends on how the exposure was assigned; the presence of effect modification does not. The possibility of … confounding without effect modification and vice versa is discussed both with respect to distribution and measure. Discussion is …
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, different mechanistic forms of interaction, when interaction is robust to unmeasured confounding, interaction for continuous …
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