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 <yimingc1208@gmail.com>
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. 
License: GPL-2
Encoding: UTF-8
LazyData: TRUE
RoxygenNote: 7.1.1
NeedsCompilation: no
Packaged: 2020-07-10 16:15:25 UTC; Yiming.Chen
Author: Yiming Chen [aut, cre],
  John Lawrence [ctb]
Repository: CRAN
Date/Publication: 2020-07-13 08:50:03 UTC
Built: R 4.3.3; ; 2025-01-24 13:11:34 UTC; unix
