{
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  "Title": "Mixed Effects Cox Models",
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  "Authors@R": "person(c(\"Terry\", \"M.\"), \"Therneau\", role=c(\"aut\", \"cre\"),\nemail=\"therneau.terry@mayo.edu\")",
  "Description": "Fit Cox proportional hazards models containing both fixed\nand random effects.  The random effects can have a general\nform, of which familial interactions (a \"kinship\" matrix) is a\nparticular special case. Note that the simplest case of a mixed\neffects Cox model, i.e. a single random per-group intercept, is\nalso called a \"frailty\" model.  The approach is based on\nRipatti and Palmgren, Biometrics 2002.",
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    "Date": "2026-05-29 10:56:21 UTC",
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  "Author": "Terry M. Therneau [aut, cre]",
  "Maintainer": "Terry M. Therneau <therneau.terry@mayo.edu>",
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      ]
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      "topics": [
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