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midas2
View on CRAN: Click
here
Download and install midas2 package within the R console
Install from CRAN:
install.packages("midas2")
Install from Github:
library("remotes")
install_github("cran/midas2") Install by package version:
library("remotes")
install_version("midas2", "1.1.0") Attach the package and use:
library("midas2")
Maintained by
Su Liwen
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-12-16
Latest Update: 2023-07-14
Description:
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) ). 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) ). 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) ).
How to cite:
Su Liwen (2021). midas2: Bayesian Platform Design with Subgroup Efficacy Exploration(MIDAS-2). R package version 1.1.0, https://cran.r-project.org/web/packages/midas2. Accessed 15 Jul. 2026.
Previous versions and publish date:
(2026-07-09 06:30), 0.1.0 (2021-12-16 11:50)
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Complete documentation for midas2
Functions, R codes and Examples using
the midas2 R package
Some associated functions: platform_midas2 . platform_midas2s .
Some associated R codes: platform_midas2.R . platform_midas2s.R . Full midas2 package functions and examples
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