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Implements methods described by the paper Robins and Tsiatis (1991) <doi:10.1080/03610929108830654>. These use g-estimation to estimate the causal effect of a treatment in a two-armed randomised control trial where non-compliance exists and is measured, under an assumption of an accelerated failure time model and no unmeasured confounders.
| Version: | 1.2.9 |
| Depends: | R (≥ 2.10) |
| Imports: | ggplot2, stats, survival |
| Suggests: | knitr, rmarkdown, tableone, testthat |
| Published: | 2024-03-12 |
| Author: | Simon Bond [aut, cre] (primary author of code, secondary author of vignette), Annabel Allison [aut] (primary author of vignette, secondary author of code) |
| Maintainer: | Simon Bond <simon.bond7 at nhs.net> |
| License: | GPL-2 |
| NeedsCompilation: | no |
| Language: | en-GB |
| Materials: | README NEWS |
| In views: | CausalInference |
| CRAN checks: | rpsftm results |
| Reference manual: | rpsftm.pdf |
| Vignettes: |
rpsftm: rank-preserving structural failure time models for survival data |
| Package source: | rpsftm_1.2.9.tar.gz |
| Windows binaries: | r-devel: rpsftm_1.2.9.zip, r-release: rpsftm_1.2.9.zip, r-oldrel: rpsftm_1.2.9.zip |
| macOS binaries: | r-release (arm64): rpsftm_1.2.9.tgz, r-oldrel (arm64): rpsftm_1.2.9.tgz, r-release (x86_64): rpsftm_1.2.9.tgz, r-oldrel (x86_64): rpsftm_1.2.9.tgz |
| Old sources: | rpsftm archive |
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