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  "Type": "Package",
  "Title": "Time to Event Outcome in Experimental Designs of Pre-Clinical\nStudies",
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  "Date": "2025-12-15",
  "Authors@R": "c(\nperson(\"Shanpeng\", \"Li\", email = \"lishanpeng0913@ucla.edu\",\nrole = c(\"aut\", \"cre\")),\nperson(\"Gang\", \"Li\", email = \"vli@ucla.edu\",\nrole = \"ctb\")\n)",
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  "Description": "Conduct simulation-based customized power calculation for\nclustered time to event data in a mixed crossed/nested design,\nwhere a number of cell lines and a number of mice within each\ncell line are considered to achieve a desired statistical\npower, motivated by Eckel-Passow and colleagues (2021)\n<doi:10.1093/neuonc/noab137> and Li and colleagues (2025)\n<doi:10.51387/25-NEJSDS76>. This package provides two commonly\nused models for powering a design, linear mixed effects and Cox\nfrailty model. Both models account for within-subject (cell\nline) correlation while holding different distributional\nassumptions about the outcome. Alternatively, the counterparts\nof fixed effects model are also available, which produces\nsimilar estimates of statistical power.",
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