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 |
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