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.
|Maintainer||Godwin Yung <firstname.lastname@example.org>|
|License||LGPL-2, LGPL-2.1, LGPL-3|
|Package repository||View on GitHub|
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