Evaluating a user-defined policy | Working with policy_eval objects | Nuisance models | Evaluating a policy learning algorithm | Cross-fitting | Parallel processing via future.apply | SessionInfo | References

Target parameter under discrete time right-censoring/monotone coarsening | Efficient estimation | Adaption to continuous time right-censoring | Terminal events | Examples | References

Single-stage: wide data | Two-stage: wide data | Multi-stage: long data | SessionInfo | References

Setup | Threshold policy learning | Subgroup average treatment effect | Asymptotics | References

Specifying and applying a policy learner | Cross-fitting the doubly robust score | Realistic policy learning | Implementation/Simulation and get_policy_functions() | Policy objects and get_policy() | SessionInfo | References