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  "Title": "Evaluation of Failure Time Surrogate Endpoints in Individual\nPatient Data Meta-Analyses",
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  "Authors@R": "c(\nperson(\"Federico\", \"Rotolo\", role=\"aut\", email=\"federico.rotolo@gustaveroussy.fr\",\ncomment = c(ORCID = \"0000-0003-4837-6501\")),\nperson(\"Xavier\", \"Paoletti\", role=\"ctb\"),\nperson(\"Marc\", \"Buyse\", role=\"ctb\"),\nperson(\"Tomasz\", \"Burzykowski\", role=\"ctb\"),\nperson(\"Stefan\", \"Michiels\", role=\"ctb\", email=\"stefan.michiels@gustaveroussy.fr\",\ncomment = c(ORCID = \"0000-0002-6963-2968\")),\nperson(\"Dan\", \"Chaltiel\", role=\"cre\", email=\"dan.chaltiel@gustaveroussy.fr\",\ncomment = c(ORCID = \"0000-0003-3488-779X\")))",
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  "Description": "Provides functions for the evaluation of surrogate\nendpoints when both the surrogate and the true endpoint are\nfailure time variables. The approaches implemented are: (1) the\ntwo-step approach (Burzykowski et al, 2001)\n<DOI:10.1111/1467-9876.00244> with a copula model (Clayton,\nPlackett, Hougaard) at the first step and either a linear\nregression of log-hazard ratios at the second step (either\nadjusted or not for measurement error); (2) mixed proportional\nhazard models estimated via mixed Poisson GLM (Rotolo et al,\n2017 <DOI:10.1177/0962280217718582>).",
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