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TrialEmulation: Causal Analysis of Observational Time-to-Event Data
Implements target trial emulation methods to apply randomized clinical trial design and analysis in an observational setting. Using marginal structural models, it can estimate intention-to-treat and per-protocol effects in emulated trials using electronic health records. A description and application of the method can be found in Danaei et al (2013) <doi:10.1177/0962280211403603>.
Getting started
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Package details |
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| Author | Isaac Gravestock [aut, cre] (ORCID: <https://orcid.org/0000-0003-0283-2065>), Li Su [aut], Roonak Rezvani [aut] (ORCID: <https://orcid.org/0000-0001-5580-5058>, Original package author), Julia Moesch [aut], Juliette Limozin [aut] (ORCID: <https://orcid.org/0000-0002-1140-2350>), Medical Research Council (MRC) [fnd], F. Hoffmann-La Roche AG [cph, fnd] |
| Maintainer | Isaac Gravestock <isaac.gravestock@gmail.com> |
| License | Apache License (>= 2) |
| Version | 0.0.5 |
| URL | https://causal-lda.github.io/TrialEmulation/ https://github.com/Causal-LDA/TrialEmulation |
| Package repository | View on CRAN |
| Installation |
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