QGcomp (quantile g-computation): estimating the effects of exposure mixtures. Works for continuous, binary, and right-censored survival outcomes. Flexible, unconstrained, fast and guided by modern causal inference principles
Nonsense results when using the code supplied in the help files of the qgcomp package can occur when using a survival model with the "pool" function from mice.
One can still pool the results by hand using Rubin's rules, but this issue should be fixed internally in the next version of qgcomp
Nonsense results when using the code supplied in the help files of the
qgcomp
package can occur when using a survival model with the "pool" function from mice.One can still pool the results by hand using Rubin's rules, but this issue should be fixed internally in the next version of
qgcomp