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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 |
| Author: | Yiming Chen [aut, cre], John Lawrence [ctb] |
| Maintainer: | Yiming Chen <yimingc1208 at gmail.com> |
| 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: SurvMI_0.1.0.zip, r-release: SurvMI_0.1.0.zip, r-oldrel: SurvMI_0.1.0.zip |
| 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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