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multiswc: Multi-Regime Marginal Structural Cox Model for Multi-Way Treatment Switching in Oncology Clinical Trials with Survival Endpoints

Estimate the causal effect of sustained treatment strategies on overall survival in clinical trials with possible treatment crossover and switch to subsequent therapy. Simulate faithful longitudinal clinical trials data with survival endpoints and multi-way treatment switches allowing for time-dependent prognostic factors. For more on methodological background, please see: Keogh and colleagues (2021) <doi:10.1002/bimj.202000040> and Suarez and colleagues (2008) <doi:10.1016/j.jclinepi.2007.11.007>.

Version: 0.1.2
Imports: nnet, survival
Suggests: testthat (≥ 3.0.0), knitr, rmarkdown
Published: 2026-05-29
DOI: 10.32614/CRAN.package.multiswc
Author: Haobin Chen [aut, cre], Yuxuan Chen [aut], Philip He [aut]
Maintainer: Haobin Chen <tony.haobin.chen at alumni.emory.edu>
BugReports: https://github.com/tonyhbc/multiswc/issues
License: MIT + file LICENSE
URL: https://github.com/tonyhbc/multiswc
NeedsCompilation: no
CRAN checks: multiswc results

Documentation:

Reference manual: multiswc.html , multiswc.pdf

Downloads:

Package source: multiswc_0.1.2.tar.gz
Windows binaries: r-devel: multiswc_0.1.2.zip, r-release: multiswc_0.1.2.zip, r-oldrel: multiswc_0.1.2.zip
macOS binaries: r-release (arm64): multiswc_0.1.2.tgz, r-oldrel (arm64): multiswc_0.1.2.tgz, r-release (x86_64): multiswc_0.1.2.tgz, r-oldrel (x86_64): multiswc_0.1.2.tgz

Linking:

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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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