4 papers
Indirect Influences of Artificial Intelligence Advice on Complex Sepsis Treatment Decisions
Venkatesh Sivaraman, Joel Levin, Eric P. Mason +6
Sepsis is a major public health concern, and many sepsis patients die due to ineffective hemodynamic management. Artificial intelligence could support hemodynamic decisions, partic…
A Doubly Robust Instrumental Variable Approach for Estimating Average Treatment Effects in Time-to-Event Data with Unmeasured Confounding: Application to Real-World Data on ICU Patients with Septic Shock
Runjia Li, Victor B. Talisa, Chung-Chou H. Chang
Motivated by conflicting conclusions regarding hydrocortisone's treatment effect on ICU patients with vasopressor-dependent septic shock, we developed a novel instrumental variable…
Doubly Robust Targeted Estimation of Subgroup Average Treatment Effects for Time-to-event Outcomes with Competing Risks
Runjia Li, Victor B. Talisa, Chung-Chou H. Chang
In recent years, precision treatment strategies have gained significant attention in medical research, particularly for patient care. We propose a novel framework for estimating su…
Bayesian response adaptive randomization design with a composite endpoint of mortality and morbidity
Zhongying Xu, Andriy I. Bandos, Tianzhou Ma +3
Allocating patients to treatment arms during a trial based on the observed responses accumulated prior to the decision point, and sequential adaptation of this allocation,, could m…