marcox: Marginal Hazard Ratio Estimation in Clustered Failure Time Data (original) (raw)
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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