EBASS: Sample Size Calculation Method for Cost-Effectiveness Studies Based on Expected Value of Perfect Information

We propose a new sample size calculation method for trial-based cost-effectiveness analyses. Our strategy is based on the value of perfect information that would remain after the completion of the study.

Version: 0.1
Imports: methods
Suggests: knitr, rmarkdown
Published: 2016-10-02
Author: Sebastien Cossin [aut, cre], Clement Bader [ctb], Morgane Donadel [ctb], Aline Maillard [ctb], Antoine Benard [ctb]
Maintainer: Sebastien Cossin <cossin.sebastien at gmail.com>
BugReports: https://github.com/scossin/EBASS/issues
License: GPL-3
URL: https://github.com/scossin/EBASS
NeedsCompilation: no
CRAN checks: EBASS results

Downloads:

Reference manual: EBASS.pdf
Vignettes: Vignette Title
Package source: EBASS_0.1.tar.gz
Windows binaries: r-devel: EBASS_0.1.zip, r-release: EBASS_0.1.zip, r-oldrel: EBASS_0.1.zip
OS X El Capitan binaries: r-release: EBASS_0.1.tgz
OS X Mavericks binaries: r-oldrel: EBASS_0.1.tgz

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