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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>.
| Version: |
0.0.3.8 |
| Depends: |
R (≥ 3.5.0) |
| Imports: |
broom (≥ 0.7.10), checkmate, data.table (≥ 1.9.8), formula.tools, mvtnorm, parglm, Rcpp, sandwich |
| LinkingTo: |
Rcpp |
| Suggests: |
knitr, rmarkdown, testthat (≥ 3.0.0), withr |
| Published: |
2024-01-24 |
| Author: |
Roonak Rezvani 
[aut] (Original package author),
Isaac Gravestock
[aut, cre],
Li Su [aut],
Medical Research Council (MRC) [fnd],
F. Hoffmann-La Roche AG [cph, fnd] |
| Maintainer: |
Isaac Gravestock <isaac.gravestock at roche.com> |
| BugReports: |
https://github.com/Causal-LDA/TrialEmulation/issues |
| License: |
Apache License (≥ 2) |
| URL: |
https://causal-lda.github.io/TrialEmulation/,
https://github.com/Causal-LDA/TrialEmulation |
| NeedsCompilation: |
yes |
| Language: |
en-GB |
| Materials: |
README NEWS |
| CRAN checks: |
TrialEmulation results |
Documentation:
Downloads:
Linking:
Please use the canonical form
https://CRAN.R-project.org/package=TrialEmulation
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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