Package: frequentistSSD 0.1.1

Chia-Wei Hsu

frequentistSSD: Screened Selection Design with Survival 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 median survival time) to recommend to the subsequent randomized phase IIb (with the concurrent control) or phase III. Though The survival endpoint is often encountered in phase II trials, the existing SSD methods cannot deal with the survival endpoint. Furthermore, the existing SSD won’t control the type I error rate. The proposed designs can “partially” control or provide the empirical type I error/false positive rate by an optimal algorithm (implemented by the optimal() function) for each arm. All the design needed components (sample size, operating characteristics) are supported.

Authors:Chia-Wei Hsu [aut, cre], Haitao Pan [aut], Jianrong Wu [aut]

frequentistSSD_0.1.1.tar.gz
frequentistSSD_0.1.1.tar.gz(r-4.7-any)frequentistSSD_0.1.1.tar.gz(r-4.6-any)
frequentistSSD_0.1.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
frequentistSSD/json (API)

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

On CRAN:

Conda:

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

1.00 score 177 downloads 6 exports 3 dependencies

Last updated from:0b71b57adb. Checks:4 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK111
source / vignettesOK182
linux-release-x86_64OK107
wasm-releaseOK98

Exports:get_ocget_oc_3armoptimalsample_sizesample_size_3armsampsize_1stage_2arm

Dependencies:latticeMatrixsurvival