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README.md
In intmed: Mediation Analysis using Interventional Effects
intmed
The intmed is for conducting mediation analysis using the interventional effect approach. It is built upon the work by VanderWeele, Vansteelandt and Robins (2014; https://dx.doi.org/10.1097/ede.0000000000000034) , Vansteelandt and Daniel (2017; https://dx.doi.org/10.1097/ede.0000000000000596) and Chan and Leung (2020; unpublished manuscript, available on request). The indirect effect mediated through a mediator M is defined as the average difference in the potential outcome in the population when there is an intervention that shifts the distribution of the mediator from what would have realised from unexposed to exposed, while holding the exposure level constant as exposed.
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intmed documentation built on Aug. 28, 2020, 1:10 a.m.
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intmed
The intmed is for conducting mediation analysis using the interventional effect approach. It is built upon the work by VanderWeele, Vansteelandt and Robins (2014; https://dx.doi.org/10.1097/ede.0000000000000034) , Vansteelandt and Daniel (2017; https://dx.doi.org/10.1097/ede.0000000000000596) and Chan and Leung (2020; unpublished manuscript, available on request). The indirect effect mediated through a mediator M is defined as the average difference in the potential outcome in the population when there is an intervention that shifts the distribution of the mediator from what would have realised from unexposed to exposed, while holding the exposure level constant as exposed.
Try the intmed package in your browser
Any scripts or data that you put into this service are public.
R Package Documentation
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We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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