PWEALL: Design and Monitoring of Survival Trials Accounting for Complex Situations
Version 1.3.0

Calculates various functions needed for design and monitoring survival trials accounting for complex situations such as delayed treatment effect, treatment crossover, non-uniform accrual, and different censoring distributions between groups. The event time distribution is assumed to be piecewise exponential (PWE) distribution and the entry time is assumed to be piecewise uniform distribution. As compared with Version 1.2.1, two more types of hybrid crossover are added. A bug is corrected in the function "pwecx" that calculates the crossover-adjusted survival, distribution, density, hazard and cumulative hazard functions. Also, to generate the crossover-adjusted event time random variable, a more efficient algorithm is used and the output includes crossover indicators.

Getting started

Package details

AuthorXiaodong Luo [aut, cre], Xuezhou Mao [ctb], Xun Chen [ctb], Hui Quan [ctb], Sanofi [cph]
Date of publication2018-10-18 11:30:13 UTC
MaintainerXiaodong Luo <[email protected]>
LicenseGPL (>= 2)
Version1.3.0
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("PWEALL")

Try the PWEALL package in your browser

Any scripts or data that you put into this service are public.

PWEALL documentation built on Oct. 18, 2018, 5:04 p.m.