Seemingly unrelated Bayesian additive regression trees for cost-effectiveness analyses in healthcare
医疗成本效果分析中的似不相关贝叶斯加性回归树
In recent years, theoretical results and simulation evidence have shown Bayesian additive regression trees to be a highly-effective method for nonparametric regression. Motivated by cost-effectiveness analyses in health economics, where interest lies in jointly modelling the costs of healthcare treatments and the associated health-related quality of life experienced by a patient, we propose a multivariate extension of BART which is applicable in regression analyses with…