Stochastic DEA model with undesirable outputs: An application to the prediction of anti-HIV therapy efficiency

作     者：BIAN Fuping and TANG Xiaoqin ( Department of Mathematics, School of Science, Tianjin University, Tianjin 300072, China Liuhui Institute of Applied Mathematics, Nankai University and Tianjin University, Tianjin 300072, China) 

作者机构：[a]Department of Mathematics School of Science Tianjin University Tianjin China [b]Liuhui Institute of Applied Mathematics Nankai University and Tianjin University Tianjin China 

出 版 物：《Progress in Natural Science:Materials International》 (自然科学进展·国际材料(英文))

年 卷 期：2006年第16卷第7期

页      面：753-759页

核心收录：

学科分类：1004[医学-公共卫生与预防医学(可授医学、理学学位)] 100401[医学-流行病与卫生统计学] 10[医学] 

基　　金：Supported by National Natural Science Foundation of China (Grant No. 20536040 ) 

主　　题：data envelopment analysis (DEA) decision making units (DMU) undesirable outputs stochastic DEA model anti-HIV therapy. 

摘      要：This paper proposes a stochastic prediction DEA model with undesirable outputs and simplifies the process using chance-constrained techniques in order to obtain an equivalent linear programming formulation. The existence and stability of the optimal solutions have been proved. And the model is used to describe and predict the efficiency of anti-HIV therapy in AIDS patients.