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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).
Version: | 0.13.1 |
Depends: | R (≥ 4.1) |
Imports: | data.table, doFuture, doRNG, fastglm, future, future.apply, ggplot2, knitr, methods, stringr, survival |
Suggests: | rmarkdown, testthat (≥ 3.0.0) |
Published: | 2025-09-15 |
Author: | Ryan O'Dea |
Maintainer: | Ryan O'Dea <ryanodea at hsph.harvard.edu> |
License: | MIT + file LICENSE |
URL: | https://causalinference.github.io/SEQuential/ |
NeedsCompilation: | no |
Materials: | README |
CRAN checks: | SEQTaRget results |
Reference manual: | SEQTaRget.html , SEQTaRget.pdf |
Vignettes: |
Intention-To-Treat Analysis (source, R code) Introduction to SEQuential (source, R code) Per-Protocol: Censoring Analysis (source, R code) Per-Protocol: Dose-Response Analysis (source, R code) Defining your SEQopts() (source, R code) |
Package source: | SEQTaRget_0.13.1.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): not available |
Please use the canonical form https://CRAN.R-project.org/package=SEQTaRget to link to this page.
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.
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