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  "Description": "Several functions and S3 methods for G-computation and\nemulation of clinical trials. It allows for flexible estimation\nof the outcome model, especially penalized regressions (Lasso,\nRidge, or Elasticnet) for binary, continuous, counting, or\nright-censored time-to-event outcomes. Average treatment effect\namong the entire population (ATE) or among the treated\npopulation (ATT) can be estimated. The method for\ntime-to-events is described by Chatton et al. (2020)\n<doi:10.1038/s41598-020-65917-x>.  For a binary outcome,\ndetails are available in the paper proposed by Chatton et al.\n(2022) <doi:10.1177/09622802211047345>.",
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