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lbau7
baskexact:Analytical Calculation of Basket Trial Operating Characteristics
Analytically calculates the operating characteristics of single-stage and two-stage basket trials with equal sample sizes using the power prior design by Baumann et al. (2024) <doi:10.48550/arXiv.2309.06988> and the design by Fujikawa et al. (2020) <doi:10.1002/bimj.201800404>.
Maintained by Lukas Baumann. Last updated 8 months ago.
2 stars 5.22 score 11 scriptslbau7
basksim:Simulation-Based Calculation of Basket Trial Operating Characteristics
Provides a unified syntax for the simulation-based comparison of different single-stage basket trial designs with a binary endpoint and equal sample sizes in all baskets. Methods include the designs by Baumann et al. (2024) <doi:10.48550/arXiv.2309.06988>, Fujikawa et al. (2020) <doi:10.1002/bimj.201800404>, Berry et al. (2020) <doi:10.1177/1740774513497539>, Neuenschwander et al. (2016) <doi:10.1002/pst.1730> and Psioda et al. (2021) <doi:10.1093/biostatistics/kxz014>. For the latter three designs, the functions are mostly wrappers for functions provided by the packages 'bhmbasket' and 'bmabasket'.
Maintained by Lukas Baumann. Last updated 12 months ago.
1 stars 3.28 score 19 scripts
phgrosjean
zooimage:Analysis of Numerical Plankton Images
A free (open source) solution for analyzing digital images of plankton. In combination with ImageJ, a free image analysis system, it processes digital images, measures individuals, trains for automatic classification of taxa, and finally, measures plankton samples (abundances, total and partial size spectra or biomasses, etc.).
Maintained by Philippe Grosjean. Last updated 7 years ago.
1.32 score 21 scripts