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survAH - Survival Data Analysis using Average Hazard

Performs two-sample comparisons based on average hazard with survival weight (AHSW) or general censoring-free incidence rate (CFIR) proposed by Uno and Horiguchi (2023) <doi:10.1002/sim.9651>.

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2.70 score 4 scripts 169 downloads

survRM2adapt - Flexible and Coherent Test/Estimation Procedure Based on Restricted Mean Survival Times

Estimates the restricted mean survival time (RMST) with the time window [0, tau], where tau is adaptively selected from the procedure, proposed by Horiguchi et al. (2018) <doi:10.1002/sim.7661>. It also estimates the RMST with the time window [tau1, tau2], where tau1 is adaptively selected from the procedure, proposed by Horiguchi et al. (2023) <doi:10.1002/sim.9662>.

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2.70 score 5 scripts 197 downloads

SSRMST - Sample Size Calculation using Restricted Mean Survival Time

Calculates the power and sample size based on the difference in Restricted Mean Survival Time.

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2.00 score 7 scripts 229 downloads

survAWKMT2 - Two-Sample Tests Based on Differences of Kaplan-Meier Curves

Tests for equality of two survival functions based on integrated weighted differences of two Kaplan-Meier curves.

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1.70 score 2 scripts 172 downloads

surv2sampleComp - Inference for Model-Free Between-Group Parameters for Censored Survival Data

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.

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1.52 score 11 scripts 275 downloads

survRM2perm - Permutation Test for Comparing Restricted Mean Survival Time

Performs the permutation test using difference in the restricted mean survival time (RMST) between groups as a summary measure of the survival time distribution. When the sample size is less than 50 per group, it has been shown that there is non-negligible inflation of the type I error rate in the commonly used asymptotic test for the RMST comparison. Generally, permutation tests can be useful in such a situation. However, when we apply the permutation test for the RMST comparison, particularly in small sample situations, there are some cases where the survival function in either group cannot be defined due to censoring in the permutation process. Horiguchi and Uno (2020) <doi:10.1002/sim.8565> have examined six workable solutions to handle this numerical issue. It performs permutation tests with implementation of the six methods outlined in the paper when the numerical issue arises during the permutation process. The result of the asymptotic test is also provided for a reference.

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1.00 score 203 downloads