Computation of key characteristics and plots for blinded sample size recalculation. Continuous as well as binary endpoints are supported in superiority and non-inferiority trials. See Baumann, Pilz, Kieser (2022) <doi:10.32614/RJ-2022-001> for a detailed description. The implemented methods include the approaches by Lu, K. (2019) <doi:10.1002/pst.1737>, Kieser, M. and Friede, T. (2000) <doi:10.1002/(SICI)1097-0258(20000415)19:7%3C901::AID-SIM405%3E3.0.CO;2-L>, Friede, T. and Kieser, M. (2004) <doi:10.1002/pst.140>, Friede, T., Mitchell, C., Mueller-Veltern, G. (2007) <doi:10.1002/bimj.200610373>, and Friede, T. and Kieser, M. (2011) <doi:10.3414/ME09-01-0063>.
Package details |
|
---|---|
Author | Lukas Baumann [aut, cre] (<https://orcid.org/0000-0001-7931-7470>), Maximilian Pilz [aut] (<https://orcid.org/0000-0002-9685-1613>), Institute of Medical Biometry - University of Heidelberg [cph] |
Maintainer | Lukas Baumann <baumann@imbi.uni-heidelberg.de> |
License | MIT + file LICENSE |
Version | 1.0.1 |
URL | https://github.com/imbi-heidelberg/blindrecalc |
Package repository | View on CRAN |
Installation |
Install the latest version of this package by entering the following in R:
|
Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.