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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 |
| Reference manual: | marcox.pdf |
| Package source: | marcox_1.0.0.tar.gz |
| Windows binaries: | r-devel: not available, r-release: marcox_1.0.0.zip, r-oldrel: not available |
| macOS binaries: | r-devel (arm64): marcox_1.0.0.tgz, r-release (arm64): marcox_1.0.0.tgz, r-oldrel (arm64): not available, r-devel (x86_64): marcox_1.0.0.tgz, r-release (x86_64): marcox_1.0.0.tgz, r-oldrel (x86_64): not available |
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