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For continuous data, it\ncan handle missing data through mixed-model for repeated\nmeasures (MMRM). In crossover designs, it can estimate direct\ntreatment effects while accounting for carryover effects. For\nbinary data, it can design Simon's 2-stage, modified toxicity\nprobability-2 (mTPI-2), and Bayesian optimal interval (BOIN)\ntrials. For count data, it can design group sequential trials\nfor negative binomial endpoints with censoring. Additionally,\nit facilitates group sequential equivalence trials for all\nsupported data types. Moreover, it can design adaptive group\nsequential trials for changes in sample size, error spending\nfunction, number and spacing or future looks. 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