Blinded Sample Size Re-Estimation for Binary Endpoints

Tools for blinded sample size re-estimation (BSSR) in two-arm clinical trials with binary endpoints, together with the exact power and sample size calculations that the re-estimation relies on. Five exact statistical tests are implemented: Pearson chi-squared, Fisher exact, Fisher mid-p, Z-pooled exact unconditional, and Boschloo exact unconditional. Each test is available with a one-sided or a two-sided alternative, and the exact unconditional tests can be combined with the Berger-Boos procedure. Sample sizes can be re-estimated either at the planning stage, to study the operating characteristics of a design, or from the blinded data of a trial that is under way. Statistical methods based on Mehrotra et al. (2003) , Berger and Boos (1994) and Kieser (2020) .


Reference manual

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install.packages("bbssr")

2.0.0 by Gosuke Homma, 2 months ago


https://github.com/gosukehommaEX/bbssr


Report a bug at https://github.com/gosukehommaEX/bbssr/issues


Browse source code at https://github.com/cran/bbssr


Authors: Gosuke Homma [aut, cre]


Documentation:   PDF Manual  


MIT + file LICENSE license


Imports fpCompare, ggplot2, Rcpp, stats, utils

Suggests testthat, knitr, rmarkdown, Exact, exact2x2, microbenchmark

Linking to Rcpp


See at CRAN