surv2sampleComp-package: Inference for Model-Free Between-Group Parameters For...
In surv2sampleComp: Inference for Model-Free Between-Group Parameters for Censored Survival Data
Description
Author(s)
References
See Also
Description
Performs inference of several model-free group contrast measures, which include difference/ratio of cumulative incidence rates
at given time points, quantiles, and restricted mean survival times (RMST).
Two kinds of covariate adjustment procedures (i.e., regression and augmentation) for inference of the metrics based on RMST are also included.
Author(s)
Lu Tian, Hajime Uno, Miki Horiguchi
Maintainer: Miki Horiguchi <horiguchimiki@gmail.com>
References
Tian L, Zhao L, Wei LJ. Predicting the restricted mean event time with the subject's baseline covariates in survival analysis. Biostatistics 2014, 15, 222-233.
Zhao L, Tian L, Uno H, Solomon S, Pfeffer M, Schindler J, Wei LJ. Utilizing the integrated difference of two survival functions to quantify the treatment contrast for designing, monitoring, and analyzing a comparative clinical study. Clinical Trials 2012, 9, 570-577.
See Also
flexsurv plotrix survival
surv2sampleComp documentation built on May 2, 2019, 12:39 a.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Description Author(s) References See Also
Description
Performs inference of several model-free group contrast measures, which include difference/ratio of cumulative incidence rates at given time points, quantiles, and restricted mean survival times (RMST). Two kinds of covariate adjustment procedures (i.e., regression and augmentation) for inference of the metrics based on RMST are also included.
Author(s)
Lu Tian, Hajime Uno, Miki Horiguchi
Maintainer: Miki Horiguchi <horiguchimiki@gmail.com>
References
Tian L, Zhao L, Wei LJ. Predicting the restricted mean event time with the subject's baseline covariates in survival analysis. Biostatistics 2014, 15, 222-233.
Zhao L, Tian L, Uno H, Solomon S, Pfeffer M, Schindler J, Wei LJ. Utilizing the integrated difference of two survival functions to quantify the treatment contrast for designing, monitoring, and analyzing a comparative clinical study. Clinical Trials 2012, 9, 570-577.
See Also
flexsurv plotrix survival
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.