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cmprskcoxmsm  

Use IPW to Estimate Treatment Effect under Competing Risks
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("cmprskcoxmsm", "0.2.1")



Attach the package and use:
library("cmprskcoxmsm")
Maintained by
Yiran Zhang
[Scholar Profile | Author Map]
First Published: 2021-01-22
Latest Update: 2021-09-04
Description:
Uses inverse probability weighting methods to estimate treatment effect under marginal structure model for the cause-specific hazard of competing risk events. Estimates also the cumulative incidence function (i.e. risk) of the potential outcomes, and provides inference on risk difference and risk ratio. Reference: Kalbfleisch & Prentice (2002); Hernan et al (2001).
How to cite:
Yiran Zhang (2021). cmprskcoxmsm: Use IPW to Estimate Treatment Effect under Competing Risks. R package version 0.2.1, https://cran.r-project.org/web/packages/cmprskcoxmsm. Accessed 04 May. 2025.
Previous versions and publish date:
0.1.0 (2021-01-22 10:50), 0.2.0 (2021-02-15 08:10)
Other packages that cited cmprskcoxmsm R package
View cmprskcoxmsm citation profile
Other R packages that cmprskcoxmsm depends, imports, suggests or enhances
Complete documentation for cmprskcoxmsm
Functions, R codes and Examples using the cmprskcoxmsm R package
Some associated functions: cif_est . doPS . follic . plot.PS . plot_est_cif . pvalFormat . weight_cause_cox . 
Some associated R codes: MSM_coxph.R . cif_est.R . table_func.R . weight.R .  Full cmprskcoxmsm package functions and examples
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