SurvGSD v1.0.0

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Group Sequential Design for a Clinical Trial with Censored Survival Data

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.

Functions in SurvGSD

Name Description
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.
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Type Package
License GPL-2 | GPL-3
Encoding UTF-8
LazyData true
RoxygenNote 6.0.1
NeedsCompilation no
Packaged 2018-05-15 01:05:22 UTC; yhchen
Repository CRAN
Date/Publication 2018-05-16 14:09:03 UTC

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