Package: SurvMI Type: Package Title: Multiple Imputation Method in Survival Analysis Version: 0.1.0 Depends: R(>= 3.4.0) Imports: survival (>= 3.1.11), zoo, stats, graphics, base Authors@R: c(person("Yiming","Chen", email = "yimingc1208@gmail.com",role = c("aut", "cre")), person("John", "Lawrence", role="ctb")) Maintainer: Yiming Chen 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) 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) 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. License: GPL-2 Encoding: UTF-8 RoxygenNote: 7.1.1 Repository: https://yimingc1208.r-universe.dev Date/Publication: 2020-10-19 23:01:59 UTC RemoteUrl: https://github.com/yimingc1208/survmi RemoteRef: HEAD RemoteSha: c866ed57380c41dca0713cff3c58bf1b9dae3118 NeedsCompilation: no Packaged: 2026-10-15 11:29:48 UTC; root Author: Yiming Chen [aut, cre], John Lawrence [ctb]