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tteICE: Treatment Effect Estimation for Time-to-Event Data with Intercurrent Events

Analysis of 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 (ICE) 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, the data involve a primary outcome event and, potentially, 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.

Version: 1.1.0
Depends: R (≥ 3.5)
Imports: cmprsk, MASS, survival (≥ 3.8-3), shiny, shinythemes, shinyWidgets, DT, psych, lifecycle
Suggests: knitr, rmarkdown
Published: 2026-02-02
DOI: 10.32614/CRAN.package.tteICE
Author: Yuhao Deng [aut], Yi Zhou [cre]
Maintainer: Yi Zhou <yzhou at pku.edu.cn>
BugReports: https://github.com/mephas/tteICE/issues
License: GPL-3
URL: https://github.com/mephas/tteICE, https://mephas.github.io/tteICE/
NeedsCompilation: no
CRAN checks: tteICE results

Documentation:

Reference manual: tteICE.html , tteICE.pdf

Downloads:

Package source: tteICE_1.1.0.tar.gz
Windows binaries: r-devel: tteICE_1.0.1.zip, r-release: tteICE_1.0.1.zip, r-oldrel: tteICE_1.0.1.zip
macOS binaries: r-release (arm64): tteICE_1.1.0.tgz, r-oldrel (arm64): tteICE_1.1.0.tgz, r-release (x86_64): tteICE_1.1.0.tgz, r-oldrel (x86_64): tteICE_1.1.0.tgz
Old sources: tteICE archive

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.