eselect: Adaptive Clinical Trial Designs with Endpoint Selection and Sample Size Reassessment

Endpoint selection and sample size reassessment for multiple binary endpoints based on blinded and/or unblinded data. Trial design that allows an adaptive modification of the primary endpoint based on blinded information obtained at an interim analysis. The decision rule chooses the endpoint with the lower estimated required sample size. Additionally, the sample size is reassessed using the estimated event probabilities and correlation between endpoints. The implemented design is proposed in Bofill Roig, M., Gómez Melis, G., Posch, M., and Koenig, F. (2022). <doi:10.48550/arXiv.2206.09639>.

Version: 1.1
Imports: stats, CompAREdesign
Published: 2023-02-03
Author: Marta Bofill Roig ORCID iD [aut, cre], Guadalupe Gomez Melis [ctb], Franz Koenig [ctb], Martin Posch [ctb]
Maintainer: Marta Bofill Roig <marta.bofillroig at>
License: MIT + file LICENSE
NeedsCompilation: no
CRAN checks: eselect results


Reference manual: eselect.pdf


Package source: eselect_1.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): eselect_1.1.tgz, r-oldrel (arm64): eselect_1.1.tgz, r-release (x86_64): eselect_1.1.tgz, r-oldrel (x86_64): eselect_1.1.tgz


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