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  "Title": "Copula Based Cox Proportional Hazards Models for Dependent\nCensoring",
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  "Date": "2024-08-26",
  "Authors@R": "c(\nperson(\"Negera Wakgari\", \"Deresa\", email = \"negera.deresa@gmail.com\", role = c(\"aut\", \"cre\"), comment = c(ORCID = \"0000-0002-1302-3725\")),\nperson(\"Ingrid\", \"Van Keilegom\", email = \"ingrid.vankeilegom@kuleuven.be\", role = \"aut\", comment = c(ORCID = \"0000-0001-8827-7642\")))",
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  "Description": "Copula based Cox proportional hazards models for survival\ndata subject to dependent censoring. This approach does not\nassume that the parameter defining the copula is known. The\ndependency parameter is estimated with other finite model\nparameters by maximizing a Pseudo likelihood function. The\ncumulative hazard function is estimated via estimating\nequations derived based on martingale ideas. Available copula\nfunctions include Frank, Gumbel and Normal copulas. Only\nWeibull and lognormal models are allowed for the censoring\nmodel, even though any parametric model that satisfies certain\nidentifiability conditions could be used. Implemented methods\nare described in the article \"Copula based Cox proportional\nhazards models for dependent censoring\" by Deresa and Van\nKeilegom (2024) <doi:10.1080/01621459.2022.2161387>.",
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      "page": "CompC",
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