surviv: Flexible Instrumental Variable Methods for Survival Analysis

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>.

Version:	0.1.3
Depends:	R (≥ 2.10)
Imports:	MASS, survival (≥ 3.4-0), rootSolve
Published:	2026-04-24
DOI:	10.32614/CRAN.package.surviv (may not be active yet)
Author:	Haobin Chen [aut, cre], James O'Malley [aut], Pablo Martinez-Camblor [aut], Todd MacKenzie [aut]
Maintainer:	Haobin Chen <tony.haobin.chen at alumni.emory.edu>
BugReports:	https://github.com/tonyhbc/surviv/issues
License:	MIT + file LICENSE
URL:	https://github.com/tonyhbc/surviv
NeedsCompilation:	no
CRAN checks:	surviv results

Documentation:

Reference manual:

surviv.html , surviv.pdf

Downloads:

Package source:	surviv_0.1.3.tar.gz
Windows binaries:	r-release: not available, r-oldrel: not available
macOS binaries:	r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): not available, r-oldrel (x86_64): not available

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