Package: frequentistSSDBinary 0.1.0

Chia-Wei Hsu

frequentistSSDBinary:Screened Selection Design with Binary Endpoints

A study based on the screened selection design (SSD) is an exploratory phase II randomized trial with two or more arms but without concurrent control. The primary aim of the SSD trial is to pick a desirable treatment arm (e.g., in terms of the response rate) to recommend to the subsequent randomized phase IIb (with the concurrent control) or phase III. The proposed designs can “partially” control or provide the empirical type I error/false positive rate by an optimal algorithm (implemented by the optimal_2arm_binary() or optimal_3arm_binary() function) for each arm. All the design needed components (sample size, operating characteristics) are supported.

Authors:Chia-Wei Hsu [aut, cre], Zongheng Cai [aut], Haitao Pan [aut]

frequentistSSDBinary_0.1.0.tar.gz
frequentistSSDBinary_0.1.0.tar.gz(r-4.5-noble)frequentistSSDBinary_0.1.0.tar.gz(r-4.4-noble)
frequentistSSDBinary_0.1.0.tgz(r-4.4-emscripten)frequentistSSDBinary_0.1.0.tgz(r-4.3-emscripten)
frequentistSSDBinary.pdf |frequentistSSDBinary.html
frequentistSSDBinary/json (API)

# InstallfrequentistSSDBinary in R:
install.packages('frequentistSSDBinary',repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

6 exports 0.00 score 3 dependencies

Last updated 9 days agofrom:9528a43b91

Exports:get_oc_2arm_binaryget_oc_3arm_binaryoptimal_2arm_binaryoptimal_3arm_binarysample_size_2arm_binarysample_size_3arm_binary

Dependencies:clinfunmvtnormph2mult