marcox: Marginal Hazard Ratio Estimation in Clustered Failure Time Data
Estimation of marginal hazard ratios in clustered failure time data. It implements the weighted generalized estimating equation approach based on a semiparametric marginal proportional hazards model (See Niu, Y. Peng, Y.(2015). "A new estimating equation approach for marginal hazard ratio estimation"), accounting for within-cluster correlations. 5 different correlation structures are supported. The package is designed for researchers in biostatistics and epidemiology who require accurate and efficient estimation methods for survival analysis in clustered data settings.
| Version: | 1.0.0 |
| Depends: | R (≥ 4.4.0),Matrix |
| Imports: | Rcpp,RcppEigen,survival,ggplot2, stats |
| LinkingTo: | Rcpp,RcppEigen |
| Published: | 2025-04-10 |
| DOI: | 10.32614/CRAN.package.marcox |
| Author: | Junyi Chen [aut, cre], Siqi Zhou [ctb], Shida Li [ctb], Yi Niu [aut] |
| Maintainer: | Junyi Chen <2655088079 at qq.com> |
| License: | GPL-3 |
| NeedsCompilation: | yes |
| CRAN checks: | marcox results |
Documentation:
Downloads:
Linking:
Please use the canonical formhttps://CRAN.R-project.org/package=marcoxto link to this page.