{ "_id": "6a12b467acfb0bcc41d1a831", "Package": "midas2", "Type": "Package", "Title": "Bayesian Platform Design with Subgroup Efficacy\nExploration(MIDAS-2)", "Version": "1.1.0", "Author": "Su Liwen", "Maintainer": "Su Liwen ", "Description": "The rapid screening of effective and optimal therapies\nfrom large numbers of candidate combinations, as well as\nexploring subgroup efficacy, remains challenging, which\nnecessitates innovative, integrated, and efficient trial\ndesigns(Yuan, Y., et al. (2016) ).\nMIDAS-2 package enables quick and continuous screening of\npromising combination strategies and exploration of their\nsubgroup effects within a unified platform design framework. We\nused a regression model to characterize the efficacy pattern in\nsubgroups. Information borrowing was applied through Bayesian\nhierarchical model to improve trial efficiency considering the\nlimited sample size in subgroups(Cunanan, K. M., et al. (2019)\n). MIDAS-2 provides an adaptive\ndrug screening and subgroup exploring framework to accelerate\nimmunotherapy development in an efficient, accurate, and\nintegrated fashion(Wathen, J. K., & Thall, P. F. 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