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TTE  

Design and Analysis Tools for Target Trial Emulation
View on CRAN: Click here


Download and install TTE package within the R console
Install from CRAN:
install.packages("TTE")

Install from Github:
library("remotes")
install_github("cran/TTE")

Install by package version:
library("remotes")
install_version("TTE", "1.1.2")



Attach the package and use:
library("TTE")
Maintained by
Hisashi Noma
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-08-02
Latest Update: 2026-08-02
Description:
Design and analysis tools for target trial emulation using longitudinal observational data. Functions are provided for checking person-period data, expanding longitudinal data into sequentially nested trials, estimating inverse probability weights for intention-to-treat and per-protocol analyses, and assessing weight distributions and covariate balance. Additional functions fit weighted pooled discrete-time outcome models, obtain standardized risks and treatment contrasts, and estimate weighted Kaplan-Meier and Aalen-Johansen curves. Two worked examples based on fully synthetic data illustrate an active-comparator new-user study comparing sodium-glucose cotransporter 2 inhibitors with dipeptidyl peptidase-4 inhibitors and an analysis of sequentially nested trials comparing angiotensin receptor blocker and calcium channel blocker strategies.
How to cite:
Hisashi Noma (2026). TTE: Design and Analysis Tools for Target Trial Emulation. R package version 1.1.2, https://cran.r-project.org/web/packages/TTE. Accessed 04 Oct. 2026.
Previous versions and publish date:
(2026-08-28 12:00), 1.1.1 (2026-08-02 18:30)
Other packages that cited TTE R package
View TTE citation profile
Other R packages that TTE depends, imports, suggests or enhances
Complete documentation for TTE
Functions, R codes and Examples using the TTE R package
Full TTE package functions and examples
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