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tteICE
View on CRAN: Click
here
Download and install tteICE package within the R console
Install from CRAN:
install.packages("tteICE")
Install from Github:
library("remotes")
install_github("cran/tteICE") Install by package version:
library("remotes")
install_version("tteICE", "1.1.5") Attach the package and use:
library("tteICE")
Maintained by
Yi Zhou
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
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First Published: 2025-10-20
Latest Update: 2025-10-20
Description:
Analyzing treatment effects in clinical trials with time-to-event outcomes is complicated by intercurrent events. This package implements methods for estimating and inferring the cumulative incidence functions for time-to-event (TTE) outcomes with intercurrent events (ICEs) under the five strategies outlined in the ICH E9 (R1) addendum, see Deng (2025)<doi:10.1002/sim.70091>. This package can be used for analyzing data from both randomized controlled trials and observational studies. In general, we have a primary outcome event and possibly an intercurrent event. Two data structures are allowed: competing risks, where only the time to the first event is recorded, and semicompeting risks, where the times to both the primary outcome event and intercurrent event (or censoring) are recorded. For estimation methods, users can choose nonparametric estimation (which does not use covariates) and semiparametrically efficient estimation.
How to cite:
Yi Zhou (2025). tteICE: Treatment Effect Estimation for Time-to-Event Data with Intercurrent Events. R package version 1.1.5, https://cran.r-project.org/web/packages/tteICE. Accessed 24 Oct. 2026.
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