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SurvMI  

Multiple Imputation Method in Survival Analysis
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("SurvMI", "0.1.0")



Attach the package and use:
library("SurvMI")
Maintained by
Yiming Chen
[Scholar Profile | Author Map]
First Published: 2020-07-13
Latest Update: 2020-07-13
Description:
In clinical trials, endpoints are sometimes evaluated with uncertainty. Adjudication is commonly adopted to ensure the study integrity. We propose to use multiple imputation (MI) introduced by Robin (1987) <doi:10.1002/9780470316696> to incorporate these uncertainties if reasonable event probabilities were provided. The method has been applied to Cox Proportional Hazard (PH) model, Kaplan-Meier (KM) estimation and Log-rank test in this package. Moreover, weighted estimations discussed in Cook (2004) <doi:10.1016/S0197-2456(00)00053-2> were also implemented with weights calculated from event probabilities. In conclusion, this package can handle time-to-event analysis if events presented with uncertainty by different methods.
How to cite:
Yiming Chen (2020). SurvMI: Multiple Imputation Method in Survival Analysis. R package version 0.1.0, https://cran.r-project.org/web/packages/SurvMI. Accessed 29 Mar. 2025.
Previous versions and publish date:
No previous versions
Other packages that cited SurvMI R package
View SurvMI citation profile
Other R packages that SurvMI depends, imports, suggests or enhances
Complete documentation for SurvMI
Functions, R codes and Examples using the SurvMI R package
Some associated functions: CoxMI . CoxMI.summ . Coxwt . Coxwt.summ . KMMI . LRMI . LRMI.summ . data_sim . uc_data_transform . 
Some associated R codes: CoxMI.R . CoxMI.summ.R . Coxwt.R . Coxwt.summ.R . KMMI.R . LRMI.R . LRMI.summ.R . data_sim.R . data_transform.R .  Full SurvMI package functions and examples
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