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

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.

Version:	1.0.1
Depends:	R (≥ 3.5)
Imports:	cmprsk, MASS, survival, shiny, shinythemes, shinyWidgets, DT, psych
Suggests:	knitr, rmarkdown
Published:	2025-10-20
DOI:	10.32614/CRAN.package.tteICE (may not be active yet)
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
NeedsCompilation:	no
Language:	en-US
CRAN checks:	tteICE results

Documentation:

Reference manual:

tteICE.html , tteICE.pdf

Downloads:

Package source:	tteICE_1.0.1.tar.gz
Windows binaries:	r-devel: not available, r-release: not available, r-oldrel: not available
macOS binaries:	r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): not available, r-oldrel (x86_64): tteICE_1.0.1.tgz

Linking:

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