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 |
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