gfoRmula (0.2.1)

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Parametric G-Formula.

Implements the parametric g-formula algorithm of Robins (1986) . The g-formula can be used to estimate the causal effects of hypothetical time-varying treatment interventions on the mean or risk of an outcome from longitudinal data with time-varying confounding. This package allows: 1) binary or continuous/multi-level time-varying treatments; 2) different types of outcomes (survival or continuous/binary end of follow-up); 3) data with competing events or truncation by death and loss to follow-up and other types of censoring events; 4) different options for handling competing events in the case of survival outcomes; 5) a random measurement/visit process; 6) joint interventions on multiple treatments; and 7) general incorporation of a priori knowledge of the data structure.

Maintainer: Sean McGrath
Author(s): Victoria Lin [aut] (V. Lin and S. McGrath made equal contributions), Sean McGrath [aut, cre] (<>, V. Lin and S. McGrath made equal contributions), Zilu Zhang [aut], Roger W. Logan [aut], Lucia C. Petito [aut], Jessica G. Young [aut] (<>, M.A. Hernn and J.G. Young made equal contributions), Miguel A. Hernn [aut] (M.A. Hernn and J.G. Young made equal contributions), 2019 The President and Fellows of Harvard College [cph]

License: GPL-3

Uses: data.table, ggplot2, ggpubr, nnet, stringr, survival, truncnorm, truncreg, Hmisc

Released 3 months ago.



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