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.">

rpsftm: Rank Preserving Structural Failure Time Models (original) (raw)

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
DOI: 10.32614/CRAN.package.rpsftm
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, ClinicalTrials
CRAN checks: rpsftm results

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