TTE: Design and Analysis Tools for Target Trial Emulation

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.

Version:	1.1.1
Depends:	R (≥ 4.1.0)
Imports:	graphics, nnet, sandwich, stats, utils
Suggests:	testthat (≥ 3.0.0)
Published:	2026-08-02
DOI:	10.32614/CRAN.package.TTE
Author:	Hisashi Noma [aut, cre]
Maintainer:	Hisashi Noma <noma at ism.ac.jp>
License:	GPL-3
NeedsCompilation:	no
Materials:	NEWS
CRAN checks:	TTE results

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