SurvMI: Multiple Imputation Method in Survival Analysis

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.

Version: 0.1.0
Depends: R (≥ 3.4.0)
Imports: survival (≥ 3.1.11), zoo, stats, graphics, base
Published: 2020-07-13
DOI: 10.32614/CRAN.package.SurvMI
Author: Yiming Chen [aut, cre], John Lawrence [ctb]
Maintainer: Yiming Chen <yimingc1208 at>
License: GPL-2
NeedsCompilation: no
CRAN checks: SurvMI results


Reference manual: SurvMI.pdf


Package source: SurvMI_0.1.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): SurvMI_0.1.0.tgz, r-oldrel (arm64): SurvMI_0.1.0.tgz, r-release (x86_64): SurvMI_0.1.0.tgz, r-oldrel (x86_64): SurvMI_0.1.0.tgz


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