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.


Reference manual

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install.packages("marcox")

1.0.0 by Junyi Chen, 2 years ago


Browse source code at https://github.com/cran/marcox


Authors: Junyi Chen [aut, cre] , Siqi Zhou [ctb] , Shida Li [ctb] , Yi Niu [aut]


Documentation:   PDF Manual  


GPL-3 license


Imports Rcpp, RcppEigen, survival, ggplot2, stats

Depends on Matrix

Linking to Rcpp, RcppEigen


See at CRAN