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The rapid screening of effective and optimal therapies from large numbers of candidate combinations, as well as exploring subgroup efficacy, remains challenging, which necessitates innovative, integrated, and efficient trial designs(Yuan, Y., et al. (2016) <doi:10.1002/sim.6971>). MIDAS-2 package enables quick and continuous screening of promising combination strategies and exploration of their subgroup effects within a unified platform design framework. We used a regression model to characterize the efficacy pattern in subgroups. Information borrowing was applied through Bayesian hierarchical model to improve trial efficiency considering the limited sample size in subgroups(Cunanan, K. M., et al. (2019) <doi:10.1177/1740774518812779>). MIDAS-2 provides an adaptive drug screening and subgroup exploring framework to accelerate immunotherapy development in an efficient, accurate, and integrated fashion(Wathen, J. K., & Thall, P. F. (2017) <doi:10.1177/1740774517692302>).
| Version: | 1.1.0 |
| Imports: | MCMCpack, coda, R2jags, stats |
| Published: | 2023-07-14 |
| DOI: | 10.32614/CRAN.package.midas2 |
| Author: | Su Liwen |
| Maintainer: | Su Liwen <cpusullivan at 163.com> |
| License: | GPL-3 |
| NeedsCompilation: | no |
| CRAN checks: | midas2 results |
| Reference manual: | midas2.pdf |
| Package source: | midas2_1.1.0.tar.gz |
| Windows binaries: | r-devel: midas2_1.1.0.zip, r-release: midas2_1.1.0.zip, r-oldrel: midas2_1.1.0.zip |
| macOS binaries: | r-release (arm64): midas2_1.1.0.tgz, r-oldrel (arm64): midas2_1.1.0.tgz, r-release (x86_64): midas2_1.1.0.tgz, r-oldrel (x86_64): midas2_1.1.0.tgz |
| Old sources: | midas2 archive |
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