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  "Title": "Assessing Complex Heterogeneity in Surrogacy",
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  "Date": "2025-04-10",
  "Authors@R": "c(person(\"Rebecca\", \"Knowlton\", email = \"rknowlton@utexas.edu\", role = c(\"aut\")), person(\"Layla\", \"Parast\", email = \"parast@austin.utexas.edu\", role = c(\"aut\", \"cre\")))",
  "Description": "Provides functions to assess complex heterogeneity in the\nstrength of a surrogate marker with respect to multiple\nbaseline covariates, in either a randomized treatment setting\nor observational setting. For a randomized treatment setting,\nthe functions assess and test for heterogeneity using both a\nparametric model and a semiparametric two-step model. More\ndetails for the randomized setting are available in: Knowlton,\nR., Tian, L., & Parast, L. (2025). \"A General Framework to\nAssess Complex Heterogeneity in the Strength of a Surrogate\nMarker,\" Statistics in Medicine, 44(5), e70001\n<doi:10.1002/sim.70001>. For an observational setting,\nfunctions in this package assess complex heterogeneity in the\nstrength of a surrogate marker using meta-learners, with\noptions for different base learners. More details for the\nobservational setting will be available in the future in:\nKnowlton, R., Parast, L. (2025) \"Assessing Surrogate\nHeterogeneity in Real World Data Using Meta-Learners.\" A\ntutorial for this package can be found at\n<https://www.laylaparast.com/cohetsurr>.",
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    "Date": "2026-05-10 06:27:48 UTC",
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