qgcomp
Quantile G-Computation
Last update: 10 August 2023
Copyright license: GNU General Public License, version 3.0, GNU General Public License, version 2.0
Software version identifier: 2.10.1, 1.0.0, 1.1.0, 1.2.0, 1.3.0, 2.0.0, 2.1.2, 2.2.2, 2.3.0, 2.4.0, 2.5.0, 2.6.0, 2.7.0, 2.8.0, 2.8.5, 2.8.6, 2.9.0, 2.15.2
G-computation for a set of time-fixed exposures with quantile-based basis functions, possibly under linearity and homogeneity assumptions. This approach estimates a regression line corresponding to the expected change in the outcome (on the link basis) given a simultaneous increase in the quantile-based category for all exposures. Works with continuous, binary, and right-censored time-to-event outcomes. Reference: Alexander P. Keil, Jessie P. Buckley, Katie M. OBrien, Kelly K. Ferguson, Shanshan Zhao, and Alexandra J. White (2019) A quantile-based g-computation approach to addressing the effects of exposure mixtures; <doi:10.1289/EHP5838>.
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