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SurvGSD (version 1.0.0)

Group Sequential Design for a Clinical Trial with Censored Survival Data

Description

Sample size calculation utilizing the information fraction and the alpha spending function in a group sequential clinical trial with censored survival data from underlying generalized gamma survival distributions or log-logistic survival distributions. Hsu, C.-H., Chen, C.-H, Hsu, K.-N. and Lu, Y.-H. (2018) A useful design utilizing the information fraction in a group sequential clinical trial with censored survival data. To appear in Biometrics.

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Version

Install

install.packages('SurvGSD')

Monthly Downloads

7

Version

1.0.0

License

GPL-2 | GPL-3

Maintainer

Chih-Yuan Hsu

Last Published

May 16th, 2018

Functions in SurvGSD (1.0.0)

General.tau

Information fractions under a generalized gamma survival distribution or a log-logistic survival distribution.
Find.h

To find parameter of a uniform dropout censoring distribution under a generalized gamma survival distribution or a log-logistic survival distribution.
SSize.FixAlter

Maximum sample size for a group sequential test under a generalized gamma survival distribution or a log-logistic survival distribution.