Huang, Bin

Inform Shared Decision Making with Advanced Bayesian Causal Inference to Improve Quality of Pediatric Rheumatology Care

Description

This research will design, develop, implement, and evaluate the Patient Centered Adaptive Treatment Strategies (PCATS) juvenile idiopathic arthritis (JIA) tool called “PCATS.JIA.” a shared decision-making tool for monitoring and treatment of polyarticular juvenile idiopathic arthritis in children.

Grant Number
R21 HS029399
Principal Investigator(s)
Morgan, Esi M.
Huang, Bin

An application programming interface implementing Bayesian approaches for evaluating effect of time-varying treatment with R and Python.

Citation
Chen C, Huang B, Kouril M, Liu J, Kim H, Sivaganisan S, Welge JA and DelBello MP (2023) An application programming interface implementing Bayesian approaches for evaluating effect of time-varying treatment with R and Python. Front. Comput. Sci. 5:1183380. doi: 10.3389/fcomp.2023.1183380
Principal Investigator
Morgan, Esi M.
Huang, Bin
Project Name
Inform Shared Decision Making with Advanced Bayesian Causal Inference to Improve Quality of Pediatric Rheumatology Care