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Young made equal\ncontributions\"),\nperson(\"2019 The President and Fellows of Harvard College\",\nrole = c(\"cph\")))", "Description": "Implements the non-iterative conditional expectation\n(NICE) algorithm of the g-formula algorithm (Robins (1986)\n, Hernán and Robins (2024,\nISBN:9781420076165)). The g-formula can estimate an outcome's\ncounterfactual mean or risk under hypothetical treatment\nstrategies (interventions) when there is sufficient information\non time-varying treatments and confounders. This package can be\nused for discrete or continuous time-varying treatments and for\nfailure time outcomes or continuous/binary end of follow-up\noutcomes. 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