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surviv  

Flexible Instrumental Variable Methods for Survival Analysis
View on CRAN: Click here


Download and install surviv package within the R console
Install from CRAN:
install.packages("surviv")

Install from Github:
library("remotes")
install_github("cran/surviv")

Install by package version:
library("remotes")
install_version("surviv", "0.1.3")



Attach the package and use:
library("surviv")
Maintained by
Haobin Chen
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-04-24
Latest Update: 2026-04-24
Description:
Instrumental variable analysis methods for causal inference on survival data based on the Cox model allowing for various treatment and effect types, including orthogonality method-of-moments instrumental variable estimation for the Cox model, two-stage residual inclusion Cox estimation with frailty, sequential trial emulation, sequential Cox analyses, and sequential two-stage residual inclusion Cox analyses. Methodological background includes MacKenzie et al. (2014) <doi:10.1007/s10742-014-0117-x>, Martinez-Camblor et al. (2019) <doi:10.1093/biostatistics/kxx062>, Martinez-Camblor et al. (2019) <doi:10.1111/rssc.12341>, Gran et al. (2010) <doi:10.1002/sim.4048>, and Keogh et al. (2023) <doi:10.1002/sim.9718>.
How to cite:
Haobin Chen (2026). surviv: Flexible Instrumental Variable Methods for Survival Analysis. R package version 0.1.3, https://cran.r-project.org/web/packages/surviv. Accessed 04 Jul. 2026.
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Full surviv package functions and examples
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