Package: cmprskcoxmsm 0.2.1

Yiran Zhang

cmprskcoxmsm: Use IPW to Estimate Treatment Effect under Competing Risks

Uses inverse probability weighting methods to estimate treatment effect under marginal structure model for the cause-specific hazard of competing risk events. Estimates also the cumulative incidence function (i.e. risk) of the potential outcomes, and provides inference on risk difference and risk ratio. Reference: Kalbfleisch & Prentice (2002)<doi:10.1002/9781118032985>; Hernan et al (2001)<doi:10.1198/016214501753168154>.

Authors:Yiran Zhang, Ronghui Xu

cmprskcoxmsm_0.2.1.tar.gz
cmprskcoxmsm_0.2.1.tar.gz(r-4.5-noble)cmprskcoxmsm_0.2.1.tar.gz(r-4.4-noble)
cmprskcoxmsm_0.2.1.tgz(r-4.4-emscripten)cmprskcoxmsm_0.2.1.tgz(r-4.3-emscripten)
cmprskcoxmsm.pdf |cmprskcoxmsm.html✨
cmprskcoxmsm/json (API)

# Install 'cmprskcoxmsm' in R:
install.packages('cmprskcoxmsm', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Datasets:
  • follic - Follicular cell lymphoma study

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2.00 score 1 stars 3 scripts 214 downloads 6 exports 51 dependencies

Last updated 3 years agofrom:f0ea9d2404. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 20 2024
R-4.5-linuxOKNov 20 2024

Exports:cif_estdoPSplot_est_cifplot.PSpvalFormatweight_cause_cox

Dependencies:clicolorspacedata.tableDBIdeldirfansifarvergbmggplot2gluegtableinterpisobandjpegjsonlitelabelinglatticelatticeExtralifecyclemagrittrMASSMatrixMatrixModelsmgcvminqamitoolsmunsellnlmenumDerivpillarpkgconfigpngR6RColorBrewerRcppRcppArmadilloRcppEigenrlangsandwichscalessurveysurvivaltibbletwangutf8vctrsviridisLitewithrxgboostxtablezoo

Estimating the treatment effect in failure-time settings with competing events

Rendered fromweight_cause_cox.rnwusingutils::Sweaveon Nov 20 2024.

Last update: 2021-09-04
Started: 2021-01-22