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.
https://anaconda.org/r_test/r-ebass/badges/version.svg
https://anaconda.org/r_test/r-ebass/badges/latest_release_date.svg
https://anaconda.org/r_test/r-ebass/badges/latest_release_relative_date.svg
https://anaconda.org/r_test/r-ebass/badges/platforms.svg
https://anaconda.org/r_test/r-ebass/badges/license.svg
https://anaconda.org/r_test/r-ebass/badges/downloads.svg