The following pages link to (Q5405214):
Displaying 12 items.
- Subgroup causal effect identification and estimation via matching tree (Q830100) (← links)
- Adversarial balancing-based representation learning for causal effect inference with observational data (Q2036786) (← links)
- Bayesian regression tree models for causal inference: regularization, confounding, and heterogeneous effects (with discussion) (Q2057337) (← links)
- Partially observable environment estimation with uplift inference for reinforcement learning based recommendation (Q2071406) (← links)
- Qini-based uplift regression (Q2247471) (← links)
- Response transformation and profit decomposition for revenue uplift modeling (Q2286984) (← links)
- An Algorithm for Generating Individualized Treatment Decision Trees and Random Forests (Q3391166) (← links)
- Tree-structured analysis of treatment effects with large observational data (Q5126965) (← links)
- Causal interaction trees: Finding subgroups with heterogeneous treatment effects in observational data (Q6079481) (← links)
- Approaches to treatment effect heterogeneity in the presence of confounding (Q6627170) (← links)
- Refined moderation analysis with categorical outcomes in precision medicine (Q6629936) (← links)
- Modern approaches for evaluating treatment effect heterogeneity from clinical trials and observational data (Q6652603) (← links)
