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  "Title": "Counterfactual Decomposition: MC Integration of the G-Formula",
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  "Authors@R": "c(\nperson(\"Maarten Jacob\", \"Bijlsma\", role=c(\"aut\", \"cre\"), email=  \"maarten.bijlsma@gmail.com\"),\nperson(\"Nikkil\", \"Sudharsanan\", role=c(\"aut\")),\nperson(\"Peng\", \"Li\", role=c(\"ctb\"))\n)",
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  "Description": "Provides a set of functions for counterfactual\ndecomposition (cfdecomp). The functions available in this\npackage decompose differences in an outcome attributable to a\nmediating variable (or sets of mediating variables) between\ngroups based on counterfactual (causal inference) theory. By\nusing Monte Carlo (MC) integration (simulations based on\nempirical estimates from multivariable models) we provide added\nflexibility compared to existing (analytical) approaches, at\nthe cost of computational power or time. The added flexibility\nmeans that we can decompose difference between groups in any\noutcome or and with any mediator (any variable type and\ndistribution). See Sudharsanan & Bijlsma (2019)\n<doi:10.4054/MPIDR-WP-2019-004> for more information.",
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  "Repository": "https://maartenbijlsma.r-universe.dev",
  "Date/Publication": "2021-08-11 20:18:15 UTC",
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