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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).
Package details |
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Author | Ryan 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>) |
Maintainer | Ryan O'Dea <ryanodea@hsph.harvard.edu> |
License | MIT + file LICENSE |
Version | 0.13.1 |
URL | https://causalinference.github.io/SEQuential/ |
Package repository | View on CRAN |
Installation |
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