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mediationsens  

Simulation-Based Sensitivity Analysis for Causal Mediation Studies
View on CRAN: Click here


Download and install mediationsens package within the R console
Install from CRAN:
install.packages("mediationsens")

Install from Github:
library("remotes")
install_github("cran/mediationsens")

Install by package version:
library("remotes")
install_version("mediationsens", "0.0.3")



Attach the package and use:
library("mediationsens")
Maintained by
Xu Qin
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-05-27
Latest Update: 2020-06-14
Description:
Simulation-based sensitivity analysis for causal mediation studies. It numerically and graphically evaluates the sensitivity of causal mediation analysis results to the presence of unmeasured pretreatment confounding. The proposed method has primary advantages over existing methods. First, using an unmeasured pretreatment confounder conditional associations with the treatment, mediator, and outcome as sensitivity parameters, the method enables users to intuitively assess sensitivity in reference to prior knowledge about the strength of a potential unmeasured pretreatment confounder. Second, the method accurately reflects the influence of unmeasured pretreatment confounding on the efficiency of estimation of the causal effects. Third, the method can be implemented in different causal mediation analysis approaches, including regression-based, simulation-based, and propensity score-based methods. It is applicable to both randomized experiments and observational studies.
How to cite:
Xu Qin (2020). mediationsens: Simulation-Based Sensitivity Analysis for Causal Mediation Studies. R package version 0.0.3, https://cran.r-project.org/web/packages/mediationsens. Accessed 21 Nov. 2024.
Previous versions and publish date:
0.0.1 (2020-05-27 00:20), 0.0.2 (2020-06-14 19:40)
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Complete documentation for mediationsens
Functions, R codes and Examples using the mediationsens R package
Some associated functions: sens . sens.plot . 
Some associated R codes: mediationsens.R .  Full mediationsens package functions and examples
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