The strength of evidence provided by epidemiological and observational
studies is inherently limited by the potential for unmeasured confounding.
We focus on three key quantities: the observed bound of the confidence interval
closest to the null, a plausible residual effect size for an unmeasured continuous
or binary confounder, and a realistic mean difference or prevalence difference for
this hypothetical confounder. Building on the methods put forth by
Lin, Psaty, & Kronmal (1998)
|Author||Lucy D'Agostino McGowan|
|Date of publication||2017-11-28 18:33:41 UTC|
|Maintainer||Lucy D'Agostino McGowan <[email protected]>|
|License||MIT + file LICENSE|
|Package repository||View on CRAN|
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