Work

An efficient approach for optimizing the cost-effective individualized treatment rule using conditional random forest

Year: 2022

Type: article

Source: Statistical Methods in Medical Research

DOI: 10.1177/09622802221115876

Authors: Yizhe Xu, Tom H. Greene, Adam P. Bress, Brandon K. Bellows, Yue Zhang, Zugui Zhang, Paul Kolm, William S. Weintraub, Andrew S. Moran, Jincheng Shen

Institutions: University of Utah, Columbia University Irving Medical Center, Christiana Care Health System, Christiana Hospital, MedStar Health Research Institute

Language: English

Topic: Advanced Causal Inference Techniques

Subfield: Statistics and Probability

Field: Mathematics

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: closed

Funders: National Institute on Aging, National Heart, Lung, and Blood Institute

Awards: Comparing the value of intensive systolic blood pressure treatment implementation strategies, Guiding next steps for SPRINT-MIND implementation: Identifying high-benefit subgroups and comparative effects of ARB- vs. ACEI-based regimens, Patient Level Prediction of Clinical Outcomes and Cost-Effectiveness in SPRINT (Optimize-SPRINT)

OpenAlex ID: W4224929171

FWCI: 0.741

Cites: 41

Cited by: 4

Related to: 10