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  "Title": "Hierarchical Models for Parametric and Semi-Parametric Analyses\nof Semi-Competing Risks Data",
  "Version": "3.4",
  "Date": "2021-2-2",
  "Author": "Kyu Ha Lee, Catherine Lee, Danilo Alvares, and Sebastien\nHaneuse",
  "Maintainer": "Kyu Ha Lee <klee15239@gmail.com>",
  "Description": "Hierarchical multistate models are considered to perform\nthe analysis of independent/clustered semi-competing risks\ndata. The package allows to choose the specification for model\ncomponents from a range of options giving users substantial\nflexibility, including: accelerated failure time or\nproportional hazards regression models; parametric or\nnon-parametric specifications for baseline survival functions\nand cluster-specific random effects distribution; a Markov or\nsemi-Markov specification for terminal event following\nnon-terminal event. While estimation is mainly performed within\nthe Bayesian paradigm, the package also provides the maximum\nlikelihood estimation approach for several parametric models.\nThe package also includes functions for univariate survival\nanalysis as complementary analysis tools.",
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  "Date/Publication": "2021-02-03 12:40:02 UTC",
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        "SemiCompRisks"
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      "topics": [
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