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

Xu, Y., Greene, T. H., Bress, A. P., Bellows, B. K., Zhang, Y., Zhang, Z., Kolm, P., Weintraub, W. S., Moran, A. S., & Shen, J. (2022). An efficient approach for optimizing the cost-effective individualized treatment rule using conditional random forest. Statistical Methods in Medical Research, 31(11), 2122–2136. https://doi.org/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
Affiliated Authors:
Brandon K. Bellows
Andrew S. Moran
Author Keywords:
cost-effectiveness
conditional random forest
individualized treatment rule
net-monetary-benefit
partitioned estimator
weighted classification algorithm
Publication Type:
Article
Unique ID:
10.1177/09622802221115876
PMID:
Publication Date:
Data Source:
Scopus

Record Created: