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
- Updated
Mar 23, 2026 - R
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
🌳 🎯 Cross Validated Decision Trees with Targeted Maximum Likelihood Estimation
Data-adaptive creation of exposure (treatment) mixtures using targeted learning
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