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  "Title": "Doubly Robust Generalized Estimating Equations",
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  "Authors@R": "c(person(\"Johan\", \"Zetterqvist\", email = \"drjohanzetterqvist@gmail.com\", role = c(\"aut\", \"cre\")),\nperson(\"Arvid\", \"Sjölander\", role = \"aut\"),\nperson(\"Alexander\", \"Ploner\", role = \"ctb\"))",
  "Description": "Estimates the conditional association between an exposure\nand an outcome given covariates. Three methods are implemented:\nO-estimation, where a nuisance model for the association\nbetween the covariates and the outcome is used; E-estimation\nwhere a nuisance model for the association between the\ncovariates and the exposure is used, and doubly robust (DR)\nestimation where both nuisance models are used. In\nDR-estimation, the estimates will be consistent when at least\none of the nuisance models is correctly specified, not\nnecessarily both. For more information, see Zetterqvist and\nSjölander (2015) <doi:10.1515/em-2014-0021>.",
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  "Author": "Johan Zetterqvist [aut, cre], Arvid Sjölander [aut], Alexander\nPloner [ctb]",
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      "title": "Doubly Robust Generalized Estimating Equations",
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