qgcomp.boot with semi-parametric hazard model

alexpkeil1 / qgcomp

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

27 stars 6 forks source link

qgcomp.boot with semi-parametric hazard model #3

Closed alexpkeil1 closed 4 years ago

alexpkeil1 commented 5 years ago

Is this easy?

alexpkeil1 commented 4 years ago

b20643bb9b52216530df538fc3b6c55dfc12702f

This is now implemented via qgcomp.cox.boot. Following standard Monte Carlo estimators, this simulates from the underlying conditional hazard model using Efron's baseline hazard estimator (at joint quantiles of all exposures). The simulated outcomes are then used in a marginal structural model with the fixed joint quantiles of exposures and the simulated outcomes.