riAFTBART
A Flexible Approach for Causal Inference with Multiple Treatments and Clustered Survival Outcomes
Random-intercept accelerated failure time (AFT) model utilizing Bayesian additive regression trees (BART) for drawing causal inferences about multiple treatments while accounting for the multilevel survival data structure. It also includes an interpretable sensitivity analysis approach to evaluate how the drawn causal conclusions might be altered in response to the potential magnitude of departure from the no unmeasured confounding assumption.This package implements the methods described by Hu et al. (2022) doi:10.1002/sim.9548.
- Version0.3.3
- R versionunknown
- LicenseMIT
- LicenseLICENSE
- Needs compilation?No
- Last release05/29/2024
Team
Fengrui Zhang
Jiayi Ji
Show author detailsRolesAuthorLiangyuan Hu
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- Imports17 packages