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confoundr  

Diagnostics for Confounding of Time-Varying and Other Joint Exposures
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("confoundr", "1.2")



Attach the package and use:
library("confoundr")
Maintained by
John W. Jackson
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-09-13
Latest Update: 2023-03-01
Description:
Implements three covariate-balance diagnostics for time-varying confounding and selection-bias in complex longitudinal data as described in Jackson 2016 doi10.1097EDE.0000000000000547 and Jackson 2019 doi10.1093ajekwz136. Diagnostic 1 assesses measured confoundingselection-bias diagnostic 2 assesses exposure-covariate feedback and diagnostic 3 assesses residual confoundingselection-bias after inverse probability weighting or propensity score stratification. All diagnostics appropriately account for exposure history can be adapted to assess a particular depth of covariate history and can be implemented in right-censored data. Balance assessments can be obtained for all times selected-times or averaged across person-time. The balance measures are reported as tables or plots. These diagnostics can be applied to the study of multivariate exposures including time-varying exposures direct effects interaction and censoring.
How to cite:
John W. Jackson (2019). confoundr: Diagnostics for Confounding of Time-Varying and Other Joint Exposures. R package version 1.2, https://cran.r-project.org/web/packages/confoundr. Accessed 28 Mar. 2025.
Previous versions and publish date:
1.1 (2019-09-13 13:20), 1.2 (2019-09-20 06:40)
Other packages that cited confoundr R package
View confoundr citation profile
Other R packages that confoundr depends, imports, suggests or enhances
Functions, R codes and Examples using the confoundr R package
Some associated functions: apply.scope . balance . catie_sim . diagnose . example_sml . lengthen . makehistory.one . makehistory.two . makeplot . omit.history . toy_long . toy_long_dropoutN . toy_long_dropoutY . toy_wide_censN . toy_wide_censY . toy_wide_dropoutN . toy_wide_dropoutY . widen . 
Some associated R codes: catie_sim.R . example_sml.R .  Full confoundr package functions and examples
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