The G-methods family, as developed by James Robins and colleagues, specifically includes:
Inverse probability weighting (IPW)
G-computation
G-estimation of structural nested models
status
not read
reprioritisations
last reprioritisation on
suggested re-reading day
started reading on
finished reading on
Open it The G-methods family, as developed by James Robins and colleagues, specifically includes: Inverse probability weighting (IPW) G-computation G-estimation of structural nested models Inverse probability matching (propensity score matching) is not technically a G-method. While it shares the fundamental goal of addressing confounding and selection bias, it employs a d