person("Kengo", "Nagashima", email = "nshi1201@gmail.com", role = c("aut", "cre"), comment = c(ORCID = "0000-0003-4529-9045"))
Description: An implementation of Bayesian single-arm phase II design methods for binary outcome based on posterior
probability (Thall and Simon (1994) <doi:10.2307/2533377>) and predictive probability (Lee and Liu (2008) <doi:10.1177/1740774508089279>).
Packaged: 2018-02-26 06:24:30 UTC; NAGASHIMA
Author: Kengo Nagashima [aut, cre] (<https://orcid.org/0000-0003-4529-9045>)

Title: Phase II Clinical Trial Design Using Bayesian Methods
Description: Calculate the Bayesian posterior/predictive probability and
determine the sample size and stopping boundaries for single-arm Phase II design.

Suggests: clinfun, gsDesign, survival, testthat

Depends: stats, graphics, animation, nleqslv

Title: Adaptive Designs for Two-Stage Phase II Studies
person("Patrick", "Sfumato", , "sfumatop@gmail.com", role = c("aut", "cre")),
person("Thomas", "Filleron", role = "aut"),
person("Bastien", "Cabarrou", role = "aut"),
person("Andrew D.", "Martin", role = "cph"),
person("Daniel", "Pemstein", role = "cph"),
person("The R Development Core Team", role = "cph"),
person("The R Foundation", role = "cph"),
person("Pierre", "L'Ecuyer", role = "cph"),
person("Makoto", "Matsumoto", role = "cph"),
person("Takuji", "Nishimura", role = "cph")
Description: Implementation of Jones (2007) <doi:10.1016/j.cct.2007.02.008> , Tournoux-Facon (2011) <doi:10.1002/sim.4148> and Parashar (2016) <doi:10.1002/pst.1742> designs.

Title: Stratified Adaptive Designs for Two-Stage Phase II Studies

Title: Phase II Clinical Trial Design for Multinomial Endpoints
Description: Provide multinomial design methods under intersection-union test (IUT) and union-intersection test (UIT) scheme for Phase II trial. The design types include : Minimax (minimize the maximum sample size), Optimal (minimize the expected sample size), Admissible (minimize the Bayesian risk) and Maxpower (maximize the exact power level).

Packaged: 2016-11-23 03:43:29 UTC; kaijingzhang