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  "Title": "Progression Models for Repeated Measures",
  "Description": "A progression model for repeated measures (PMRM) is a\ncontinuous-time nonlinear mixed-effects model for longitudinal\nclinical trials in progressive diseases. Unlike mixed models\nfor repeated measures (MMRMs), which estimate treatment effects\nas linear combinations of additive effects on the outcome\nscale, PMRMs characterize treatment effects in terms of the\nunderlying disease trajectory. This framing yields clinically\ninterpretable quantities such as average time saved and percent\nreduction in decline due to treatment. This package implements\nfrequentist PMRMs by Raket (2022) <doi:10.1002/sim.9581> using\n'RTMB' by Kristensen (2016) <doi:10.18637/jss.v070.i05>.",
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  "URL": "https://github.com/openpharma/pmrm,\nhttps://openpharma.github.io/pmrm/",
  "BugReports": "https://github.com/openpharma/pmrm/issues",
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  "Repository": "https://openpharma.r-universe.dev",
  "Date/Publication": "2026-04-03 20:26:51 UTC",
  "RemoteUrl": "https://github.com/openpharma/pmrm",
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  "Author": "William Michael Landau [aut, cre] (ORCID:\n<https://orcid.org/0000-0003-1878-3253>),\nLars Lau Raket [aut] (ORCID: <https://orcid.org/0000-0001-7099-2314>),\nKasper Kristensen [aut] (ORCID:\n<https://orcid.org/0000-0003-3425-3762>),\nEli Lilly and Company [cph, fnd]",
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