There are two main parts of this package: 1) Predictions about the required number of events in a 2-arm survival study from a fixed set of parameters, 2) Predictions about the time when reaching a target level of events from accumulated data analysed at an interim in a blinded survival study. 1) uses an exponential or Weibull model for survival and accrual according to a fixed non linear function. 2) by default uses a Weibull model for survival and either a Poisson process or a non-linear function for accrual. This package is based on earlier work by Christophe Delong and Sally Hollis.
Package details |
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Author | Daniel Dalevi and Nik Burkoff with contributions from Helen Mann, Paul Metcalfe and David Ruau |
Maintainer | Daniel Dalevi <daniel.dalevi@astrazeneca.com> |
License | GPL (>=2) |
Version | 2.4.1 |
Package repository | View on GitHub |
Installation |
Install the latest version of this package by entering the following in R:
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