Search Results for author:
Found 3 papers, 1 papers with code
A Bayesian Framework for Causal Analysis of Recurrent Events in Presence of Immortal Risk
Estimation with observational claims data is challenging because while membership in the target population is defined in terms of eligibility criteria, treatment is rarely assigned exactly at the time of eligibility.
Tree-based Subgroup Discovery In Electronic Health Records: Heterogeneity of Treatment Effects for DTG-containing Therapies
The rich longitudinal individual level data available from electronic health records (EHRs) can be used to examine treatment effect heterogeneity.
Causal Interaction Trees: Tree-Based Subgroup Identification for Observational Data
We propose Causal Interaction Trees for identifying subgroups of participants that have enhanced treatment effects using observational data.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
