Facilitates the comparison of two survival distributions by estimating the log hazard ratio under the Cox regression model and a non-parametric efficacy measure: difference or ratio of cumulative hazard, milestone survival, survival percentile, or restricted mean survival time. Computes the asymptotic variance- covariance matrix of the effect estimates. Provided with theoretical survival experiences, it can also facilitate study design by calculating the asymptotic mean and covariance.
Package details |
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Author | Godwin Yung |
Maintainer | Godwin Yung <godwin.y.yung@gmail.com> |
License | LGPL-2, LGPL-2.1, LGPL-3 |
Version | 0.0.0.9000 |
Package repository | View on GitHub |
Installation |
Install the latest version of this package by entering the following in R:
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