SEQTaRget: Sequential Trial Emulation

Implementation of sequential trial emulation for the analysis of observational databases. The 'SEQTaRget' software accommodates time-varying treatments and confounders, as well as binary and failure time outcomes. 'SEQTaRget' allows to compare both static and dynamic strategies, can be used to estimate observational analogs of intention-to-treat and per-protocol effects, and can adjust for potential selection bias induced by losses-to-follow-up. (Paper to come).

Package details

AuthorRyan O'Dea [aut, cre] (ORCID: <https://orcid.org/0009-0000-0103-9546>), Alejandro Szmulewicz [aut] (ORCID: <https://orcid.org/0000-0002-2664-802X>), Miguel Hernan [aut] (ORCID: <https://orcid.org/0000-0003-1619-8456>), The President and Fellows of Harvard College [cph] (ROR: <https://ror.org/03vek6s52>)
MaintainerRyan O'Dea <ryanodea@hsph.harvard.edu>
LicenseMIT + file LICENSE
Version0.13.1
URL https://causalinference.github.io/SEQuential/
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("SEQTaRget")

Try the SEQTaRget package in your browser

Any scripts or data that you put into this service are public.

SEQTaRget documentation built on Sept. 15, 2025, 9:09 a.m.